Self-Synchronized Localization Strategy for Wireless Sensor Network Using MCL with High Level Parameter Analysis
Localization is an important parameter to analyze and find the location of sensor with help of some high level parameter of sensor node. In this paper, the authors propose a self-synchronized RSSI based localization scheme for heterogeneous wireless sensor network. In this paper, all the sensor energy has assigned in terms of discrete level to monitor the sensor within the network using hidden markov model.by using this markov chain the power level can be calculated in predefined manner of a periori probability. Their simulation result is shows that the energy level has been improved with small localization error.