Abstract
Energy efficient routing protocols in Wireless Sensor Networks (WSNs) is an important area of research due to energy limitations. It is therefore important to maximize the limited energy so as to increase the network lifetime of the WSN. In this paper, a modified energy efficient multi-hop routing protocol (mEEMRP) in a 200 m2 field is presented. This protocol is based on a technique that involves balancing load between communication management (CM) nodes during the multi-hop routing of aggregated data to the base station (BS), where the residual energy (RE) levels of CM nodes are considered as well as the distance between neighboring CM nodes. Simulation results showed that mEEMRP yielded a 1.77% improvement over energy efficient multi-hop routing protocol (EEMRP) in terms of network lifetime. More so, the proposed mEEMRP also improved the energy consumption and the number of packets received at the BS by 4.83% and 7.41%, respectively.Keywords: Routing protocol, Multi-hop routing, Network lifetime, mEEMRP, EEMRP
Highlights
A Wireless Sensor Networks (WSNs) is a network that is composed of hundreds of sensor devices that communicate over wireless channels (Vijayan & Raaza, 2016)
This paper presents a modified energy efficient multi-hop routing that seeks to balance load between communication management (CM) nodes
The modified protocol was simulated and implemented on MATLAB R2015a simulator with the results obtained compared with efficient multi-hop routing protocol (EEMRP) based on network lifetime, energy consumption percentage and number of packets received at the base station (BS)
Summary
A WSN is a network that is composed of hundreds of sensor devices that communicate over wireless channels (Vijayan & Raaza, 2016). With recent advances in microelectromechanical-systems (MEMS) (MEMS are microscopic devices that have moving parts and consist of a microprocessor and several components that interact with the surrounding such as microsensors.) and wireless communication, WSN technologies provide a wide range of advantages over conventional networking technologies (Rawat et al, 2014). Some of these advantages include lower cost, scalability, reliability, accuracy, flexibility and ease of deployment. This is in order to avoid sensor voids or holes (More & Raisinghani, 2016)
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