2005 · 880 citations · 41 references
ComputingComputer ScienceComputer SystemsComputer NetworksMobile ComputingWireless CommunicationsRoutingRouting AlgorithmsRouting ProtocolsSensor NetworksWireless NetworksWireless Sensor NetworksMobile Sensor NetworksNetwork LifetimeNetwork Lifetime OptimizationRouting In Mobile NetworksRouting Protocols For Wireless NetworksSensor NodesWireless Sensor Network ProtocolsWireless Sensor Network Routing
Data traffic concentration toward a few base stations quickly depletes nearby nodes, threatening network lifetime. The study proposes moving the base station so that the set of nearby nodes changes over time to extend lifetime. The authors model and simulate a mobile base station that follows the network periphery, combined with a routing scheme using round routes and short paths, to optimize data collection. The combined mobility and routing approach yields about a 500 % increase in network lifetime.
Although many energy efficient/conserving routing protocols have been proposed for wireless sensor networks, the concentration of data traffic towards a small number of base stations remains a major threat to the network lifetime. The main reason is that the sensor nodes located near a base station have to relay data for a large part of the network and thus deplete their batteries very quickly. The solution we propose in this paper suggests that the base station be mobile; in this way, the nodes located close to it change over time. Data collection protocols can then be optimized by taking both base station mobility and multi-hop routing into account. We first study the former, and conclude that the best mobility strategy consists in following the periphery of the network (we assume that the sensors are deployed within a circle). We then consider jointly mobility and routing algorithms in this case, and show that a better routing strategy uses a combination of round routes and short paths. We provide a detailed analytical model for each of our statements, and corroborate it with simulation results. We show that the obtained improvement in terms of network lifetime is in the order of 500%.
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