MODEL FOR ACCURATE SENSOR NODE LOCALIZATION USING MCB WITH SPEED AND DIRECTION CALCULATION

Abstract

Most problematic factor in wireless network is to find exact geographical location of sensor i.e. termed as localization issue. Many works, algorithm have been done is this regard to find accurate sensor location using Sequential Monte Carlo (SMC) method. This uses Seed/Anchor node to locate other sensor nodes but this algorithm, requirement is to have high density of Seed/Anchor nodes for accurate result, and also it deals with problem related to low sampling rate. Many research are done in same line but lacks to address energy requirement. On similar scope, Bounding Box method is designed which is quite efficient in searching time of candidate samples and hence address time issue to search valid sample set faster. In said thesis, we propose Energy Efficient approach that is faster in terms of searching candidate samples and ignore invalid samples efficiently from sample space. Also it takes more samples into account and hence increases localization accuracy. We will monitor direction of movement as well as speed of sensor to predict the next valid position of sample under study and hence we can easily rule out invalid samples in each iteration and achieve high localization accuracy.