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机构地区:[1]中国工程物理研究院计算机应用研究所,四川绵阳621900
出 处:《计算机仿真》2015年第2期315-319,346,共6页Computer Simulation
基 金:中国工程物理研究院科学技术发展基金资助课题(2012A0403021)
摘 要:在保证网络覆盖质量的前提下,节约网络能量是构建无线传感器网络的技术保证。为解决上述问题,提出在随机部署方式下,采用联合感知模型且无需地理位置信息的冗余节点判断模型,设计了一个选取较少工作节点保证网络覆盖质量的分布式协同调度算法(DCSA),力求选取出的工作节点位置分布均匀并且网络整体能耗分布均衡。仿真结果表明:DCSA能够提供应用期望的覆盖质量,并且显著减少了工作节点的数目,降低了网络能量消耗,延长了网络寿命。One of the major challenges in constructing wireless sensor networks (WSNs) is to ensure the quality of coverage (QoC) as well as to save energy. Considering the cooperative sensing model and the random deployment policy, a judgement model of redundant node without location information is presented. Furthermore, the distributed collaborative scheduling algorithm (DCSA) is designed to guarantee the QoC of networks with the least number of nodes. It chooses the uniformly - located working nodes and makes sure that the energy consumption of each node consumes homogeneously. Simulation results show that the DCSA policy not only provides the desired QoC of net- works, but also reduces the number of working nodes significantly, saves the energy of the networks, and extends the network lifetime.
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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