Sensor relocation in mobile sensor networks

By Guiling Wang, Guohong Cao, T. L. Porta, Wensheng Zhang. Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies., 2005

578 citations recorded by the source corpus.

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An Efficient Genetic Algorithm for Maximum Coverage Deployment in Wireless Sensor Networks (2013, background): “most sensor network applications deal with a large number of sensors, many studies for efficient placement under various situations and environments have been conducted [3], [6], [8], [10], [15], [18], [22], [24], [35], [37], [38], [41], [46], [47], [49], [50], [54]–[57].”
Controlled sink mobility for prolonging wireless sensor networks lifetime (2008, background): “For results in this area, which goes beyond the scope of this paper, the reader is referred to [16, 18, 19, 36, 48–51].”
Strategies and techniques for node placement in wireless sensor networks: A survey (2008, background): “Therefore, approximate and local solutions, or search heuristics, are more popular in the context of WSNs [7,13,14].”
Data Collection in Wireless Sensor Networks with Mobile Elements: A Survey (2011, methodology): “Different from [Wang et al. 2005b], the cost due to sink relocation for example, latency and energy expenditure due to routing release and setup is also taken into consideration.”
A Survey on Localization for Mobile Wireless Sensor Networks (2009, background): “In sparse networks, or when a node drops off the network, mobile nodes can position themselves to maintain network connectivity [16], [17].”