首页> 外文会议>International Conference on Mobile Ad-hoc and Sensor Networks(MSN 2007); 20071212-14; Beijing(CN) >Maximizing Network Lifetime for Target Coverage Problem in Heterogeneous Wireless Sensor Networks
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Maximizing Network Lifetime for Target Coverage Problem in Heterogeneous Wireless Sensor Networks

机译:最大化异构无线传感器网络中目标覆盖范围的网络生存时间

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This paper presents an energy-efficient distributed target coverage algorithm(EDTC) for heterogeneous wireless sensor networks(HWSN) with multiple sensing units. In order to utilize the energy more efficiently, the sensor priority is introduced in this paper to integrate the sensing ability and the remaining energy together. EDTC is locally and simultaneously carried out at each sensor in a rounding fashion. Each sensor decides the on/off status of its sensing units at the beginning of each round, and then broadcasts the decision to its one-hop neighbors. The higher the priority of a sensor is, the shorter the decision time it needs. Simulation results show that compared with Energy First(EF) scheme and Integer Linear Programming(ILP) solution, EDTC has longer network lifetime than EF, and the performance difference between EDTC and ILP solution is confined within 10%.
机译:提出了一种具有多个传感单元的异构无线传感器网络(HWSN)的高效节能分布式目标覆盖算法(EDTC)。为了更有效地利用能量,本文引入了传感器优先级,将传感能力和剩余能量整合在一起。 EDTC在本地且同时在每个传感器上以舍入方式执行。每个传感器在每个回合开始时决定其感应单元的开/关状态,然后将决定广播到其单跳邻居。传感器的优先级越高,所需的决策时间越短。仿真结果表明,与Energy First(EF)方案和整数线性规划(ILP)解决方案相比,EDTC的网络寿命比EF长,并且EDTC与ILP解决方案之间的性能差异被限制在10%以内。

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