An adaptive signal strength based localization approach for wireless sensor networks

In wireless sensor networks (WSNs), frequent update of node location becomes very difficult to estimate while nodes are moving with high speed. In such cases, it is not able to find the location due to excessive overhead. If a sensor node wants to communicate with neighbor node, geographical location of node is required. In hierarchical structure of WSN, it is very difficult to deploy the sensor node in accurate position. In previous schemes, there are several methods which were proposed to achieve location accuracy. However, it suffered from excessive overhead during localization process. In this research work, an adaptive signal strength based localization approach (ASSLA) is proposed for increasing location accuracy with node update method. In this approach, the stable paths are found with the determination of bit error rate, signal strength and packet delivery ratio. Once the paths are found, a cluster is formed with minimal hop count value. Node location update value is estimated using revised vector concept and trilateration method. From the extensive simulation results and analysis using network simulation tool (NS 2.34), the proposed approach ASSLA outperforms than existing schemes in terms of delay, location accuracy, overhead, delivery ratio, location detection efficiency.