Distributed data fusion for multirobot search

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DISTRIBUTED DATA FUSION FOR MULTIROBOT SEARCH
ABSTRACT
This paper presents novel data fusion methods that enable teams of vehicles to perform
target search tasks without guaranteed communication. Techniques are introduced for merging
estimates of a target’s position from vehicles that regain contact after long periods of time, and a
fully distributed team-planning algorithm is proposed, which utilizes limited shared information
as it becomes available. The proposed data fusion techniques are shown to avoid overcounting
information, which ensures that combining data from different vehicles will not decrease the
performance of the search.Motivated by the underwater search domain, a realistic underwater
acoustic communication channel is used to determine the probability of successful data transfer
between two locations. The channel model is integrated into a simulation of multiple
autonomous vehicles in both open water and harbor environments. The results demonstrate that
the proposed distributed coordination techniques provide performance competitive with full
communication.

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IEEE Vehicular technology 2016 Title and Abstracttsysglobalsolutions

Predictive Data Dissemination in VanetDhruvMarothi

Predictive Data Dissemination in Vanet aims to efficiently disseminate data in vehicular ad hoc networks (VANETs) by using predictive mechanisms. The presented techniques take advantage of GPS and map data to select vehicles that will further broadcast information to designated areas. Simulation results showed these techniques can alleviate broadcast storms while effectively disseminating data in both urban and highway scenarios. The document discusses several challenges for future work, including intermittent connectivity, high mobility, heterogeneous vehicles, privacy and security, and enabling network intelligence in large-scale VANETs.

Autonomous_UAV_Path_Planning_Using_Modified_PSO_for_UAV-Assisted_Wireless_Net...MaryumHina1

This document presents a framework that uses a modified particle swarm optimization (PSO) algorithm for unmanned aerial vehicle (UAV) path planning to support wireless network user rate requirements. The framework formulates the problem to jointly optimize the path and energy consumption while satisfying the user's sum rate constraint. It first uses line of sight probability to find an optimal destination where the UAV can provide the required downlink rate to the user. Then, the modified PSO algorithm finds the most energy-efficient path from the source to that destination. Experiments show the framework provides an obstacle-avoiding 3D path, minimizes energy use and travel time, and improves user rate over other methods in different scenarios.

Optimization of Quality of Service (QoS) framework for highway based Vehicula...IJERA Editor

The Vehicular Ad-hoc Network is a novel technology. It has the property of higher node mobility. Vehicular Adhoc networks offer wireless communications between vehicles themselves (V2V) and between vehicles to the roadside units (V2R). The VANET is an active research area, as it has great prospective to enhance the road and vehicle safety, efficiency of traffic. Vehicular Ad-hoc Network not only just provides the safety applications, but also provides communication to the users. The QoS support in VANET is a challenge when the existing routing paths become no longer are available as a result of changes in the velocity and position of node, and distance between the vehicular nodes or network topology. In this study we designed a framework which provides us the facility to enhance various Quality of Service parameters, such as End to End Delay, throughput and packet loss ratio etc. The proposed model uses layered approach, deep classification as existed QoS components are further broken down and provides Quality of Experience to the users. NCTUns is used as simulation tool to build up simulations. After getting the results of simulation we carried out the performance analysis of various routing protocols. The simulation results indicate that the proposed scheme provides much better performance in terms of various QoS parameters like End to End Delay, throughput and packet loss ratio

A Systematic Review on Routing Protocols for VANETsIRJET Journal

This document provides a systematic review and comparative analysis of 10 routing protocols for vehicular ad hoc networks (VANETs). It summarizes the key methods, benefits, and conclusions of each protocol. The protocols use various techniques like clustering, machine learning, Q-learning, firefly algorithm, and particle swarm optimization to address the challenges of frequent topology changes in VANETs. Simulation results show the protocols improve metrics like packet delivery ratio, end-to-end delay, and network throughput compared to other existing protocols. In conclusion, an efficient routing protocol is needed to meet the unique requirements of VANETs and achieve good performance.

Ieeepro techno solutions 2013 ieee embedded project person-based traffic re...srinivasanece7

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