【摘要】 针对传统的静态无线传感器网络(Wireless Sensor Network, WSN)中存在的覆盖率低、节点能量有限等问题，本文首先提出了一种基于麻雀搜索算法(Sparrow Search Algorithm, SSA)的节点优化部署方案，提高了整个WSN的覆盖率，并降低了网络通信能耗；其次，在节点优化部署的基础上，提出了一种基于条件后验克拉美-罗下界(Conditional Posterior Cramer-Rao Lower Bounds, CPCRLB)与能耗优化的目标跟踪算法，并设计了一种能同时兼顾跟踪精度与能耗的目标函数。仿真结果表明，本文所提算法能够有效提高网络覆盖率，并能在保证跟踪精度的条件下，最大限度地降低网络能耗。更多还原

【Abstract】 Aiming at the problems of low coverage and limited node energy in traditional static wireless sensor networks(Wireless Sensor Network, WSN), this paper first proposes a node optimization deployment scheme based on Sparrow Search Algorithm(SSA). The method improves the coverage of the entire WSN and reduces the energy consumption of network communication. Secondly, based on the optimized deployment of nodes, a Conditional Posterior Cramer-Rao Lower Bounds(CPCRLB) is proposed. The target tracking algorithm is optimized with energy consumption, and an objective function that can balance tracking accuracy and energy consumption is designed. The simulation results show that the algorithm proposed in this paper can effectively improve the network coverage, and can reduce the network energy consumption to the greatest extent under the condition of ensuring the tracking accuracy.更多还原