Energy Efficient Approach for Mobile Data Gathering In Wireless Sensor Networks

Abstract: Energy consumption becomes a main concern in a Wireless Sensor Network. Wireless sensor network (WSN) requires robust and energy efficient communication protocols to minimize the energy consumption as much as possible. In this project, the investigation of the impact of outlying sensor readings and broken links on high-fidelity data gathering is carried out, and propose Compressive sensing Theory based bounded relay hop mobile data gathering (CST-BRH) approaches, Here a subset of sensors will be selected as polling points that buffer locally aggregated data and upload the data to the mobile collector when it arrives. It also identify outlying sensor readings and derive the corresponding accurate values, and to infer broken links. The proposed design is validated by an extensive simulation study, and the results indicate that CST-BRH method is superior over traditional in-network data compression techniques for practical sensor network settings. This analyze the trade-off between energy saving and data gathering latency in mobile data gathering.