Covering points of interest with mobile sensors

Jan 12, 20140 likes403 views

Ecway Technologies provides IEEE projects and software developments from its offices located in multiple cities across Tamil Nadu, India. The company's website and contact information is provided. The document discusses an algorithm for autonomously deploying mobile sensors to cover predefined Points of Interest while maintaining connectivity. Each sensor moves toward a Point of Interest but also maintains connectivity with a subset of neighboring sensors as part of a Relative Neighborhood Graph, minimizing the number of sensors used for connectivity and maximizing the number available for monitoring. Analytical results, simulations, and practical implementation demonstrate the efficiency of the algorithm.

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COVERING POINTS OF INTEREST WITH MOBILE SENSORS

ABSTRACT:

The coverage of Points of Interest (PoI) is a classical requirement in mobile wireless sensor
applications. Optimizing the sensors self-deployment over a PoI while maintaining the
connectivity between the sensors and the base station is thus a fundamental issue. This paper
addresses the problem of autonomous deployment of mobile sensors that need to cover a
predefined PoI with a connectivity constraint.

Our algorithm, each sensor moves toward a PoI but has also to maintain the connectivity with a
subset of its neighboring sensors that are part of the Relative Neighborhood Graph (RNG). The
Relative Neighborhood Graph reduction is chosen so that global connectivity can be provided
locally. Our deployment scheme minimizes the number of sensors used for connectivity thus
increasing the number of monitoring sensors. Analytical results, simulation results and practical
implementation are provided to show the efficiency of our algorithm.

This document discusses an algorithm for autonomously deploying mobile sensors to cover predefined Points of Interest (PoI) while maintaining connectivity to a base station. The algorithm moves each sensor toward a PoI while having it maintain connectivity to a subset of neighboring sensors that are part of the Relative Neighborhood Graph. This deployment scheme aims to minimize the number of sensors used for connectivity, increasing the number available for monitoring. The paper provides analytical results, simulations, and details of a practical implementation to demonstrate the efficiency of the algorithm.

Covering points of interest with mobile sensorsEcwaytech

Sensors need to autonomously deploy to cover points of interest while maintaining connectivity to a base station. This paper proposes an algorithm where each sensor moves toward a point of interest but also maintains connectivity with neighboring sensors that are part of a relative neighborhood graph, minimizing connectivity sensors and maximizing monitoring sensors. Analysis, simulations, and implementation show the efficiency of the algorithm in optimizing sensor deployment over points of interest with connectivity constraints.

Covering points of interest with mobile sensorsEcway Technologies

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