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Use of node mobility in mobile sensor networks for relocation after initial random placement was previously suggested in [11, 12].
Natalizio et al. in [24] have illustrated the advantages and limitations of controlled mobility in mobile sensor networks.
Managing mobile node mobility in target tracking applications in mobile sensor networks is addressed in [17].
Y. Zou and K. Chakrabarty, "Distributed mobility management for target tracking in mobile sensor networks," IEEE Transactions on Mobile Computing, Vol. 8, pp. 872-887, 2007.
Surveillance coverage of mobile sensor networks under Brownian motion random node mobility model was addressed in [16].
Examples of random mobility include epidemic routing [4] and the naturally mobile sensor networks [5].
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The mobile sensor network is composed of only mobile nodes and has good mobility.
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A mobile sensor network system integrated with wireless multimedia sensor networks (WMSNs) was designed for effective prediction of a stampede during crowd disasters.
In this paper, we study mobile sensor network (MSN) architectures and algorithms for monitoring a moving phenomenon in an unknown and open area using a group of autonomous mobile sensor (MS) nodes.
In this paper, we consider the cluster-based architecture and provide distributed clustering algorithms for mobile sensor nodes which minimize the energy dissipation for data-gathering in a wireless mobile sensor network.
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