Locating each node in a wireless sensor network is essential for starting the monitoring job and sending information about the area. One method that has been used in hard and inaccessible environments is randomly scattering each node in the area. In order to reduce the cost of using GPS at each node, some nodes should be equipped with GPS (anchors), Then using the belief propagation algorithm, locate other nodes. The number of anchor nodes must be reduced since they are expensive. Furthermore, the location of these nodes affects the algorithm's performance. Using multi-objective optimization, an algorithm is introduced in this paper that minimizes the estimated location error and the number of anchor nodes. According to simulation results, This algorithm proposes a set of solutions with less energy consumption and less error than similar algorithms.
翻译:在无线传感器网络中定位每个节点对于启动监测任务和发送有关区域的信息至关重要。 在硬性和不可进入环境中使用的一种方法是随机分散每个节点。为了降低每个节点使用全球定位系统的成本,一些节点应当配备GPS(锁定器),然后使用信仰传播算法,定位其他节点。必须减少锚节点的数量,因为这些节点很昂贵。此外,这些节点的位置影响算法的性能。使用多目标优化,本文引入了一种算法,最大限度地减少估计位置错误和锚节点的数量。根据模拟结果,这一算法提出了一套能量消耗较少、错误小于类似算法的解决方案。