Localization of sensor nodes is one of the major challenge in wireless sensor networks. It helps in identifying the geographically area where an event occurred. Most of the cases it is one time process wherein nodes are localized once in network life time. However, in real time scenario nodes may get dislocated within the network due to land slide or any event occurrence. In such events, localization of these sensor nodes is required. In this paper, we have proposed a new framework of localization for displaced sensor nodes. The proposed framework consider DV-Hop localization methods using particle swarm optimization (PSO). Radio irregularity model is also considered to show the applicability of proposed algorithm in anisotropic network. Simulation results show that our proposed localization framework effectively minimizes the elapsed time, localization error and energy consumption as compared to traditional framework of PSO DV-Hop.

传感器节点的本地化是无线传感器网络中的主要挑战之一。它有助于确定事件发生的地理区域。在大多数情况下，这是一次过程，其中节点在网络生命周期中一次定位一次。但是，在实时情况下，由于滑坡或任何事件的发生，节点可能会在网络内错位。在这种情况下，需要对这些传感器节点进行定位。在本文中，我们提出了一个新的位移传感器节点定位框架。提出的框架考虑了使用粒子群优化（PSO）的DV-Hop定位方法。还考虑了无线电不规则模型，以证明所提出的算法在各向异性网络中的适用性。仿真结果表明，我们提出的本地化框架有效地减少了经过时间，