Issues and Challenges in Distributed Sensor Networks- A Review

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e-ISSN: 2278-0661,p-ISSN: 2278-8727, Volume 17, Issue 1, Ver. III (Jan – Feb. 2015), PP 34-42
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Issues and Challenges in Distributed Sensor Networks- A Review
Sharada Y Yalavigi, Dr. Krishnamurthy G.N, Dr. NandiniSidnal
Abstract:Distributed Sensor networks (DSN) is an emerging technology and have great potential to be
employed in critical situations like battlefields and commercial applications such as process management,
health care monitoring, environmental/earth sensing, industrial monitoring and many more scenarios. One of
the major challenges distributed sensor networks face today is security. While the deployment of sensor nodes in
an unattended environment makes the networks vulnerable to a variety of potential attacks, the inherent power
and memory limitations of sensor nodes makes conventional security solutions unfeasible. The sensing
technology combined with processing power and wireless communication makes it profitable for being exploited
in great quantity in future. The wireless communication technology also acquires various types of security
threats. This paper discusses a wide variety of security, research, computational and design issues along with
the challenges faced.
Keywords: Distributed Sensor Network, Design issues, Security issues, Defensive mechanisms, Challenges.
I. Introduction
A Distributed Sensor Network can be defined as a set of spatially scattered intelligent sensors designed
to obtain measurement from the environment, abstract relevant information from the data gathered, and to derive
appropriate interferences from the information gained. Typical examples include temperature, light, sound, and
humidity. These sensor readings are transmitted over a wireless channel to a running application that makes
decisions based on these sensor readings. Many applications have been proposed for distributed sensor
networks, and many of these applications have specific quality of service (QoS) requirements that offer
additional challenges to the application designer.[18],[19].
We consider two aspects [8] to motivate an application-based viewpoint: First, what aspects of wireless
sensors make the implementation of applications more challenging, or at least different?
One widely recognized issue is the limited power available to each wireless sensor node, but other
challenges such as limited storage or processing capabilities play a significant role in constraining the
application development. Second, what services are required for a wireless sensor network application toachieve
its intended purpose? A number of widely applicable services, such as time synchronization andlocation
determination are briefly discussed. Other services are needed to support database requirements, such as
message routing, topology management, and data aggregation and storage.In this paper we discuss a wide
variety of security, research, computational and design issues along with the challenges faced.
II. Design Issues And Challenges In Sensor Networks
Several design challenges [4],[5],[16],[20],[21]present themselves to designers of wireless sensor
networkapplications. The limited resources available to individual sensor nodesimplies designers must develop
highlydistributed, fault-tolerant, and energyefficientapplications in a small memory-footprint. For wireless
sensor network applications to have reasonable longevity, an aggressiveenergy-management policy is
mandatory. This is currently the greatest designchallenge in any wireless sensor network application. Several
key differences between more traditional ad hoc networks and wirelesssensor networks exist. [8]
1) Individual nodes in a wireless sensor network have limited computationalpower and storage capacity. They
operate on nonrenewable power sourcesand employ a short-range transceiver to send and receive messages.
2) The number of nodes in a wireless sensor network can be several orders of magnitudehigher than in an ad
hoc network. Thus, algorithm scalability is animportant design criterion for sensor network applications.
3) Sensor nodes are generally densely deployed in the area of interest. This densedeployment can be leveraged
by the application, since nodes in close proximitycan collaborate locally prior to relaying information back
to the base station.
4) Sensor networks are prone to frequent topology changes. This is due to severalreasons, such as hardware
failure, depleted batteries, intermittent radio interference,environmental factors, or the addition of sensor
nodes. As a result,applications require a degree of inherent fault tolerance and the ability toreconfigure
themselves as the network topology evolves over time.
5) Wireless sensor networks do not employ a point-to-point communication paradigmbecause they are usually
not aware of the entire size of the network andnodes are not uniquely identifiable. Consequently, it is not
possible to individuallyaddress a specific node. Paradigms, such as directed diffusion [,], employa data-

Issues and Challenges in Distributed Sensor Networks- a review
centric view of generated sensor data. They identify informationproduced by the sensor network as
<attribute, value> pairs. Nodes requestdata by disseminating interests for this named data throughout the
network.Data that matches the criterion are relayed back toward the querying node.
Even with the limitations individual sensor nodes possess and the designchallenges application developers face,
several advantages exist for instrumentingan area with a wireless sensor network:[8]
1) Due to the dense deployment of a greater number of nodes, a higher level offault tolerance is achievable in
wireless sensor networks.
2) Coverage of a large area is possible through the union of coverage of severalsmall sensors.
3) Coverage of a particular area and terrain can be shaped as needed to overcomeany potential barriers or holes
in the area under observation.
4) It is possible to incrementally extend coverage of the observed area and densityby deploying additional
sensor nodes within the region of interest.
5) An improvement in sensing quality is achieved by combining multiple,independent sensor readings. Local
collaboration between nearby sensornodes achieves a higher level of confidence in observed phenomena.
6) Since nodes are deployed in close proximity to the sensed event, this overcomesany ambient environmental
factors that might otherwise interfere withobservation of the desired phenomenon.
2.1 Data Aggregation:
Redundancy exists in sensordata in both the temporal and spatial domains. That is, readings collected
by asingle sensor at different times or among neighboring sensors may be highlycorrelated, and contain
redundant information. Instead of transmitting all thehighly correlated information to subscribers, it may be
more effective forsome intermediate sensor node(s) to digest the information received andcome up with a
concise digest, in order to reduce the amount of raw data tobe transmitted (and hence the power incurred, and
bandwidth consumed, intransmission). This technique is termed as dataaggregation (also called data
fusion).Data fusion can also be integrated with routing. Compared withtraditional address-centric routing, which
finds the shortest paths betweenpairs of end nodes, data-fusion–centric routing aims to locate routes thatlead to
the largest degree of data aggregation [41].
Theaggregation typically follows a tree topology rooted at thesink. Each leaf node would deliver its
collected data to itsparent node. Intermediate sensor nodes of the tree mayoptionally perform certain operations
(e.g., sum, maximum, minimum, mean, etc.) on the received data and forward theresult. Because the wireless
medium is shared, transmissionsto forward the data need to be coordinated in orderto reduce interference and
avoid collision. The fundamentalchallenge can be stated as: How can the aggregation transmissionsbe scheduled
in a wireless sensor network suchthat no collision may occur and the total number of timeslots used (referred to
as aggregation latency) is minimized?This is known as the Minimum-Latency Aggregation Scheduling(MLAS)
problem in the literature.The MLAS problem is typically approached in two steps:(i) data aggregation tree
construction and (ii) link transmissionscheduling. For (ii), we assume the simplest modein which every non-leaf
node in the tree will make onlyone transmission, after all the data from its child nodeshave been received. A
correct solution to the MLAS problemrequires that no concurrent transmissions interfering witheach other
should take place. If steps (i) and (ii) are carriedout simultaneously in a solution, we have a „„joint‟‟ design.
2.2 Time Synchronization
Sensor networks are used to monitor real-world phenomena. For such monitoringapplications, physical
time often plays a crucial role. For example,the times of occurrence of physical events are often crucial for the
observer to associate event reports with the originating physical events. Also, methods for localization of sensor
nodes based on the measurement of time of flight or difference of arrival time of certain signals also require
synchronized time. Providing synchronized physical time is a complex task dueto various challenging
characteristics of sensor networks like energy and other resources, network dynamics, infrastructure and
configuration.[17],[37].
Different applications like beam- forming array, data aggregation, recognition of duplicate detection of
same event from different sensors, ordering of logged events have different synchronization requirements and
also any single synchronization mechanism is not appropriate for all circumstances sensors should have multiple
methods available to them so that they can dynamically trade precision for energy, or scope for convergence
time. Existing time synchronization methods like NTP conserve use of bandwidth and try to keep the clock
synchronization at all times but are not aware of the stringent energy constraints and the heterogeneity of the
hardware that may be deployed in sensornets.

2.3 Localization
In emerging sensor network applications it is necessary to accurately orient the nodes with respect to a
global coordinate system in order to report data that is geographically meaningful. Furthermore, basic middle
ware services such as routing often rely on location information (e.g., geographic routing). Application contexts
and potential massive scale make it unrealistic to rely on careful placement or uniform arrangement of sensors.
Rather than use globally accessible beacons or expensive GPS to localize each sensor, we would like the sensors
to self-organize a coordinate system.
Some of the design goals of localization in wireless sensor networks are:
 RF-based: Normally, the sensors have some kind of short-range radio transceivers for communication. By
leveraging this radio for localization the high cost and size requirements of GPS can be avoided.
 Receiver-based: For greater scalability, the responsibility for localization must lie with the receiving node
that needs to be localized and not with the reference points.
 Ad Hoc: For easy deployment, the solution should not require preplanning or extensive infrastructure.
 Low Energy: Since the sensors have modest processing capabilities, the mechanisms should minimize
computation and message costs to reduce power consumption.
 Adaptive Fidelity: The accuracy of the localization algorithms should be adaptive to the granularity of
available reference points.
Localization methods typically rely on some form of communication between reference points with
known positions and the receiver node that needs to be located. Various localization techniques can be classified
into two broad categories based on the granularity of information inferred during the communication. Fine-
grained localization systems (e.g., GPS) provide high precision location information, typically estimated ranges
or angles relative to beacons (reference points) and compute location of the unknown node using trilateration
(position estimation from distance to three points) or triangulation (position estimation from angles to three
points). Coarse-grained localization systems estimate unknown node location from proximity to beacons or
landmarks
2.4 Node Deployment
Node deployment[11][45] in WSNs is application dependent and affects the performance of the routing
protocol. The deployment can be either deterministic or randomized. In deterministic deployment, the sensors
are manually placed and data is routed through pre-determined paths. However, in random node deployment, the
sensor nodes are scattered randomly creating an infrastructure in an ad hoc manner. If the resultant distribution
of nodes is not uniform, optimal clustering becomes necessary to allow connectivity and enable energy efficient
network operation. Intersensor communication is normally within short transmission ranges due to energy and
bandwidth limitations. Therefore, it is most likely that a route will consist of multiple wireless hops.
2.5 Network Dynamics
Most of the network architectures assume that sensor nodes are stationary. However, mobility of both
BS‟s and sensor nodes is sometimes necessary in many applications. Routing messages from or to moving nodes
is more challenging since route stability becomes an important issue, in addition to energy, bandwidth etc.
Moreover, the sensed phenomenon can be either dynamic or static depending on the application, e.g., it is
dynamic in a target detection/tracking application, while it is static in forest monitoring for early fire prevention.
Monitoring static events allows the network to work in a reactive mode, simply generating traffic when
reporting. Dynamic events in most applications require periodic reporting and consequently generate significant
traffic to be routed to the BS [12].
2.6 Energy Efficiency
Once the WSN is functional it becomes difficultto replace or recharge the battery of sensor nodes. This
further posesthe challenge to maintain sensors in hostile and harsh environmentand scaling of sensor network to
hundreds or thousands of nodes.Therefore, an energy-efficient mechanism is required to save energyand prolong
the network lifetime [12].
2.7 Node/Link Heterogeneity
In many studies, all sensor nodes wereassumed to be homogeneous, i.e., having equal capacity in terms
ofcomputation, communication, and power. However, depending onthe application a sensor node can have
different role or capability.The existence of heterogeneous set of sensors raises many technicalissues related to
data routing. These special sensors can be eitherdeployed independently or the different functionalities can
beincluded in the same sensor nodes. Even data reading and reportingcan be generated from these sensors at
different rates, subject todiverse quality of service constraints, and can follow multiple datareporting models.

For example, hierarchical protocols designate acluster-head (CH) node different from the normal sensors.
Thesecluster heads can be chosen from the deployed sensors or can bemore powerful than other sensor nodes in
terms of energy, bandwidth,and memory. Hence, the burden of transmission to the BS is handledby the set of
cluster-heads [12].
2.8 Fault tolerance and reliability
For many WSN applications, datamust be delivered reliably over the noisy, error-prone, and
timevaryingwireless channel. In such cases, data verification andcorrection on each layer of the network are
critical to provide accurate results. Additionally, sensor nodes are expected to performself-testing, self-
calibrating, self-repair and self-recovery proceduresduring their lifetime.
2.9 Scalability
Sensor networks should be scalable or flexible. Sensor networks dynamically adopt changes in node
density and topology. Sometimes few nodes are added to the sensor networks existed nodes for the purpose of
coverage issue. So sensor network is flexible to adapt these changes.
2.10 Data Centric Routing
In data-centric routing protocol, whenever a sink requires any data it sends a query message to the
different part of the sensor network field. After receiving this query message sensors node replies and sends data
to the sink. In data-centric protocol attribute based naming is used which specifies the properties of the data.
III. Security Issues And Challenges In Dsn
3.1 Security Requirements [2]-[6],[13][14][42]:
1) Availability
Availability determines whether a node has the ability touse the resources and whether the network is
available forthe messages to communicate. However, failure of thebase station will eventuallythreaten the entire
sensor network. Thus availability is ofprimary importance for maintaining an operationalnetwork.
2) Authentication
Authentication ensures the reliability of the message byidentifying its origin. Attacks in sensor
networks do notjust involve the alteration of packets; adversaries can alsoinject additional false packets []. Data
authenticationverifies the identity of the senders and receivers. Dataauthentication is achieved through
symmetric orasymmetric mechanisms where sending and receivingnodes share secret keys. Due to the wireless
nature of themedia and the unattended nature of sensor networks, it isextremely challenging to ensure
authentication.
3) Confidentiality
Confidentiality is the ability to conceal messages froma passive attacker so that any message
communicated viathe sensor network remains confidential. This is the mostimportant issue in network security.
A sensor node shouldnot reveal its data to the neighbors.
4) Integrity
Data integrity in sensor networks is needed to ensurethe reliability of the data and refers to the ability
toconfirm that a message has not been tampered with, altered or changed. Even if the network has
confidentialitymeasures, there is still a possibility that the data integrityhas been compromised by alterations.
The integrity of thenetwork will be in trouble when:
• A malicious node present in the network injectsfalse data.
• Unstable conditions due to wireless channel causedamage or loss of data. [4]
5) Data Freshness
Even if confidentiality and data integrity are assured, thereis a need to ensure the freshness of each
message.Informally, data freshness [] suggests that the data isrecent, and it ensures that no old messages have
beenreplayed. To solve this problem a nonce, or another time related counter, can be added into the packet to
ensure data freshness
3.2 Security Attacks:
Attackers can be classified into two types: i) external attackers that are not authorized participants of
the sensor network and ii) internal attackers that have compromised a legitimate sensor and use it to launch
attacks in the network.Furthermore, attackers can be classified into passive and active. Passive attackers monitor

network traffic without interfering with it. Their aim is to eavesdrop on the exchanged information and to
acquire private data or to infer about information-sensitive applications that execute in the sensors. Active
attackers disrupt network operation by launching several types of attacks that cause DoS (denial of service) in
the DSN.
1) Denial of Service (DoS)
A Denial of Service attack in sensor networks in general is defined as any event that eliminates the
network‟s capacity to perform its desired function. DoS attacks in distributed sensor networks may be carried
out at different layers like the physical, link, network and transport layers. This occurs by the unintentional
failure of sensor nodes. The simplest DoS attack tries to exhaust the resources available to the victim node, by
transmitting additional unwanted packets and thus prevents legitimate sensor network users from tapping work
or resources to which these nodes are deployed. In DSNs, several types of Denial of Service attacks in different
layers might be performed, i.e. at physical layer, the Denial of Service attacks could be jamming and tampering,
at link layer, collision, exhaustion, unfairness, at network layer, neglect and greed, homing, misdirection, black
holes and at transport layer this attack could be performed by malicious flooding and resynchronizations.
2) Spoofed, altered or replay of routing information
The most outstanding attack on routing is to alter, spoof, or just replay routing information and it is
known as false routing information.Malicious nodes simply drop data packets quietly, modify the data content,
generate false error messages or redirects the traffic.[17]
3) Selective forwarding
In this attack an attacker comprise itself in a data stream lane and can selectivelydrop only distinct
packets. In sensor networks it is assumed that nodes faithfully forward received messages butsome
compromised node might refuse to forward packets, though neighbors may start using another route.
4) Sinkhole attacks
The main goal of an adversary in sinkhole attack is to attract all the traffic toward itselfthrough an
agreement node. Sinkhole attacks [10] typically work by making a compromised node look especiallyattractive
to surrounding nodes.
5) Sybil attacks
In Sybil attack [10], a single node makes replicas of it and distributes it in multiple locations of
thenetwork. Authentication and encryption techniques can prevent an outsider to launch a Sybil attack on
thesensor network.
6) Wormhole attacks
In wormhole attack, more than two malicious colluding sensor nodes does a virtual tunnel in the sensor
network, which is used to forward message packets between the tunnel edge points. This tunnel establishes
shorter links in the network. In which adversary documents forwards packets at one location in the sensor
network, tunnels them to different location, and re-forwards them into the sensor network. In sensor network
when sender node sends a message to another receiver node in the network, then the receiving node tries to send
the message to its neighboring nodes. The neighbor sensor nodes assume that the message was sent by the
sender node (this is normally out of range), so they tries to forward the message to the originating node, but this
message never comes because it is too far away. Wormhole attack is a great threat to sensor networks since, this
type of attack will not require compromising a sensor in the network instead; it could be performed even at the
starting phase during the sensors initializes to identify its neighboring information. This Wormhole attacks are
very difficult to stop since routing information given by a sensor node is very difficult to check. The wormhole
attack is possible even when the attacker has not compromised with any hosts nodes and even if all
communication provides confidentiality and are authenticated also.
7) Hello flood attack
In this, HELLO packets will have high radio transmission range and these are used as weapons in DSN.
This processing power sends HELLO packets to a number of sensor nodes, which are deployed, in a large area
within a Sensor Network. The sensor devices are thus persuaded that the adversary is their neighboring node. As
a result of this, while forwarding the messages to the base station, the victim sensor nodes try to go through the
attacker as they are aware, that it is their neighborers and are spoofed by the attacker.[17]

8) Acknowledgement spoofing
The routing algorithm of a number of sensor networks depends on the explicit or implicit
acknowledgement from the link layer. Because of this innate medium of broadcast medium, the attacker can be
spoofing the acknowledgement from the link layer for sniffed packets that are meant for adjacent nodes. The
aim of this attack is to make the sender nodes believe that the receiving node is in vicinity or even that a
disabled/dead node is still alive.
IV. Measures To Overcome Issues And Challenges In Distributed Sensor Networks:
Table1: Various design issues and challenges and their requirements
Issue/Challenge Requirements
Data Aggregation [41] Energy efficient and low delay
Time Synchronization [37] Rapid flooding, keeping track of neighboring nodes, overhead in
terms of computation and memory allocation.
Localization [48] Flooding, power consumption, number of anchors required for
accurate localization
Node Deployment [45] Energy and bandwidth limitations
Network Dynamics
Node/Link Heterogeneity [12][45]
Route stability, energy, and bandwidth.
Data routing issues.
Energy Efficiency [44][47] MAC Scheduler, Data reduction, sleep/wake-up schemes, radio
optimization and energy efficient routing.
Fault tolerance and reliability [12] Reliability requirements: Noise-free, error-free, time-invariant
wireless channel, error control, error detection and error correction
techniques.Sensor nodes are expected to performself-testing, self-
calibrating, self-repair and self-recovery proceduresduring their
lifetime.
Fault tolerance can be achieved with the help of redundant nodes.
Data Centric Routing [49][50] Energy efficiency
Scalability Topology control mechanisms
Security Requirements [4]
Availability
Availability of resources and base station
Authentication Authentication techniques like MAC (Message Authentication code)
Confidentiality Encryption techniques
Integrity Encryption techniques
Data Freshness a nonce, or another time-related counter, can be added into the
packet to ensure data freshness.
Table2: Various security attacks and their countermeasures
Type of attack OSI layer Characteristic[26][28] Countermeasures
Denial of Service
(DoS)[31]
Physical layer Jamming,Tampering Frequency hopping [2],[15], UWB(Ultra Wide
Band) transmission technique, Changing and
Protecting the key.JAM (Avoidance of
jammed region by using coalesced neighbor
nodes),Wormhole based (Uses wormholes to
avoid jamming) [3][32]
Link layer Collision, Exhaustion, Unfairness Time diversity and CRC [2][15], protecting
the Network ID along with any information
required for device joining [15].
Error correction code, rate limitation,small
frames [6]
Network layer Neglect and greed, homing,
misdirection, black holes.[31]
Restricting malicious node to join the network
by secure network set up phase, REWARD
routing protocol(Uses geographic routing,
Takes advantage of the broadcastinter-radio
behavior to watch neighbor transmissions and
detectblackhole attacks)[2],[36]
Transport layer Flooding and de-synchronization Limit the number of connections that an entity
can make. Authenticating all the packets
exchanged between sensor nodes along with
all the control fields in transport header. The
adversary cannot spoof the packets and header
and thus this attack can be prevented.[2],[17]
Client puzzles, Authentication [6],[38]
Spoofed, altered or
replay of routing
information
Link layer Malicious nodes simply drop data
packets, modify the data content,
generate false error messages or
redirects the traffic.
Authentication [2][15], On Communication
Security (Efficient resource management,
Protects the network even if partof the
network is compromised) [3]
Selective forwarding
[40]
Network layer Attackers drop packets they have
to route
Multipath routing, CHEMAS (Checkpoint-
based Multi-hop Acknowledgement Scheme),
a lightweight security scheme for detecting
selective forwarding attacks. This scheme

randomly selects a number of intermediate
nodes as checkpoints which are responsible
for generating acknowledgement. According
to this scheme, along a forwarding path, if a
checkpoint node does not receive enough
acknowledgements from the downstream
checkpoint nodes it can detect abnormal
packet loss and identify suspect nodes.
Sinkhole attacks Link
layer,Network
layer
Attacker broadcasts false routing
related information so
thatneighboring nodes send them
their packets and stealsinformation
or drops them
Data consistency& Network flow information
approach, Hop count Monitoring Scheme,
RSSI based Scheme,Monitoring nodes CPU
Usage, Mobile Agent based approach ,Using
Message Digest Algorithm.[15][35]
Sybil attacks Physical layer Node replication by stealing
sensors identities, that is, MAC
address, IP address, and so forth
Physically Protecting the devices [15]
Data link layer Changing the key regularly [15], key
management [9]
Network layer Reset the devices and change the session keys,
Suspicious node detection bysignal strength
Wormhole attacks
[30][31]
Link layer Adversaries exchange packets
through a long-distance andlow-
latency links affecting routing
making legitimate sensors
believe that they are neighbors
with sensors of another area
Packet leashes, directional antenna, Network
Neighbor Number (NNT) Test based on
Hypothesis testing which detects the increase
in the number of neighbors of the sensors, All
Distance Test (ADT), detects the decrease of
the lengths of the shortest paths between all
pairs of sensors.[15]
Network layer
Hello flood attack Network layer Use of high transmission range
HELLO packets so that nodes go
through attacker while transmitting
packets to base station
“Identity verification protocol”[39] checks the
bi-directionality of link with encrypted echo-
back mechanism. A “probabilistic based”
proposal, which drives some randomly chosen
nodes to
acknowledge to base station regarding hello
requests, which then further examines the
request authenticity
Acknowledgement
spoofing
Link layer Spoofs the acknowledgement for
the sniffed packets and gives an
illusion that receiver is in its
vicinity and even disabled/dead
node is alive
Good encryption techniques and proper
authentication for communication.[32]
V. Conclusion
In this paper, we have addressed various design issues in distributed sensor networks and also
challenges faced.Security requirements, attacks and countermeasures are also discussed. Drawbacks and
requirements associated with countermeasures presents open research issues and researchers can work in that
direction for designing secure protocols.
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