Robot assisted maintenance strategy in wireless sensor networks
Robot assisted maintenance strategy in wireless sensor networks
复制标题
无线传感器网络中的机器人辅助维护策略
DOI：
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
Li Chen
中科院分区：
文献类型：
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作者：
Hao Wu;Long Cheng;Chengdong Wu;Li Chen
提出了一种以覆盖率和维护成本为目标的机器人辅助维护策略(RAMS)。在该策略中，我们首先分析了覆盖模型和能耗模型。在此基础上，提出了一种综合考虑各节点复盖率和剩余能量的网络健康指标。从数学上讲，网络健康指标是一个成本函数。因此，将网络维护问题转化为成本优化问题。由于待重部署候选节点的选择非常复杂，因此采用粒子群优化算法来降低计算复杂度。最后，利用机器人对网络进行修复。仿真结果表明，与随机算法、均匀算法和Delaney算法相比，该算法具有较高的覆盖率和较长的维护周期。
In this paper, a robot assisted maintenance strategy (RAMS) which aims to balance the coverage rate and maintenance cost was proposed. In this strategy, we firstly analyzed the coverage and energy consumption model. And then a network health indicator which considering the coverage rate and residual energy in each node was proposed. Mathematically, the network health indicator is a cost function. So the network maintenance was formulated into cost optimization problem. Since the selection of candidate nodes which to be redeployed is very complexity, so the particle swarm optimal algorithm was employed to reduce the computation complexity. Finally, the robot was employed to repair the networks. Simulation results show that in comparison with random, uniform, and Delaney algorithm, the proposed RAMS can achieve relatively high coverage rate with much longer maintenance period.