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覆盖率不仅是评价无线传感器网络体系性能重要标准之一,也是无线传感器网络所研究的一项重点课题.为此,提出了一种复杂动态参数模型下优化覆盖算法,该算法通过对动态参数覆盖模型的计算,给出了传感器节点覆盖的期望值和公差的求解过程以及对所关注目标节点进行首次覆盖后的期望值证明过程.在网络能量方面,则通过节点状态调度策略对通信路径进行优化,证明节点能量衰减过程中,似然拟合函数极限存在的意义,实现了传感器节点能量的有效匹配,抑制了传感器节点能量的消耗,证明了优化后整个监测区域传感器节点覆盖函数之间关系.仿真实验表明,本算法不仅提高了覆盖和网络服务质量,而且有效地抑制了网络能量开销,延长网络生存周期.
Coverage is not only one of the most important criteria to evaluate the performance of wireless sensor network system, but also a key issue studied by wireless sensor networks.Therefore, an improved coverage algorithm based on complex dynamic parameter model is proposed, The calculation of the model gives the solving process of the expected value and tolerance of sensor node coverage and the expected value proofing process after the first coverage of the target node concerned.On the network energy aspect, the communication path is optimized by the node state scheduling strategy, which proves In the process of node energy attenuation, the likelihood fits the significance of the function limit, and achieves the effective matching of sensor nodes’ energy, restrains the energy consumption of sensor nodes, and proves the relationship between sensor node coverage functions in the whole monitoring area after optimization. It shows that this algorithm not only improves the coverage and network service quality, but also effectively restrain the network energy cost and prolong the network lifetime.