Energy Optimization in Mobile Wireless Sensor Networks with Mobile Targets Achieving Efficient Coverage for Critical Applications
Keywords:MWSN, multiobjective optimization, shortest path, coverage, location, energy efficiency.
AbstractThe Mobile Wireless Sensor Networks (MWSN), classified within MANETS, haveÂ multiple applications for critical situations management such as target monitoringÂ and tracking in conflict zones, supporting urban security, critical infrastructure monitoring,Â remote locations exploration (i.e. aerospace exploration), and patients monitoringÂ and care in health facilities, among others. All of these applications haveÂ requirements of certain intelligence in the network that can be used for network’sÂ self-configuration in order to find targets, guarantee connectivity and informationÂ availability until its reception.Â This paper proposes a MWSN architecture with an initial random distribution in aÂ specific work area, and a centralized management to perform autonomous decisionÂ making about the movement and connectivity of the sensors. The work area presentsÂ mobile targets with interesting events which must be covered by the mobile sensors,Â and thus, send the collected information through the network to any base stationÂ available. Our work shows a dynamic mathematical model used to maximize targets’Â coverage and send its sensed information to the base stations available, while minimizingÂ system’s power consumption and maximizing operation time. The heuristicÂ algorithm we used to construct and find a feasible solution is also shown.
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