Improving accuracy for RSSI based localisation

Abstract

Wireless technology has seen a sharp inclination towards low power wireless motes, micro sensor chips and microprocessors which are not only energy efficient but also have significant improvements in distributed signal processing, ad-hoc networking and pervasive computing. These low-powered multifunctional sensor nodes are capable of integrating vast information, faster data computation, optimal storage and efficient wireless communication. In other words wireless sensor networks are low cost, low power, short ranged, small size nodes that are deployed for data collection specifically at inaccessible places for sensing and processing information. RSSI is a popular technique to measure the pathloss for wireless environ ments. Previous researches has utilised RSSI values to estimate the distance and subsequently do the localisation for unknown nodes in the topology. This research will focus on improving the localisation accuracy of RSSI based systems incorporating the estimation of pathloss coefficients. The proposed solution will be implemented by modifying the pre-existing 802.11 mac file in C++ and the scenario will be simulated in Network Simulator-2 (NS-2) through TCL scrips.