Near-Minimum-Energy Routing in Heterogeneous Wireless Sensor Networks

Abstract

Routing is an essential operation in wireless sensor networks. Most existing routing protocols are designed for homogeneous sensor networks. Recent studies show that a homogeneous sensor network has a poor fundamental performance limit. To achieve better performance, we adopt a Heterogeneous Sensor Network (HSN) model. In this paper, we present an efficient NEar-optiMal rOuting (NEMO) protocol for HSNs. We evaluate the performance of NEMO through extensive simulation experiments. Our results show that NEMO can find near-optimal routes in an HSN and has very small overhead.

Shanaka C. DeSoysa

Vice President, Advanced Analytics at Wells Fargo

My research interests include data science, machine learning, and computer science.