Cluster based Indoor Localization for Energy Consumption Enhancement

Abstract

To perform indoor localization in Internet of Things networks, mobile devices transmit an extra information. This extra communication increases the energy consumed. In this paper, we aim to overcome the problem of energy consumption inherent to localization process in such networks. Thus, we propose a clustering strategy that will be able to reduce the size of measurement vector that will be transmitted and the traveling distance. The preliminary simulation results show the efficiency of the proposed method in terms of transmitted power and computational complexity without degrading the localization accuracy compared to a conventional localization scheme.