Compressive Data Gathering for MI BasedClustered Non-Conventional WSNs

Abstract

In non-conventional media (underground and underwater environment), the wireless signal propagation is not advantageous by means of electromagnetic (EM) waves due to the problems like high path loss, size of antenna and dynamic channel conditions. Hence, an alternative communication technique of magnetic induction (MI) based communication is developed which is highly suitable for efficient communication in this media due to its promising features such as constant channel behavior,less propagation delay and stealth underwater operations. In this paper, a traditional energy efficient scheme known as compressive data gathering (CDG) is implemented on MI based communication in non-conventional wireless sensor networks (WSNs) i.e in dry soil and sea water media. In this paper we have also estimate dMI sensor energy consumption (sensor sensing, sensor logging,micro-controller, radio transmission and reception electronics)and compared the results. Moreover, we perform an analytical modeling to find the total energy consumption in the network for two different media (dry soil and sea water).