Light-Weight Energy Consumption Model and Evaluation for Wireless Sensor NetworksAndrew Richardson, Jordan Rendall and Yongjun Lai*
Mechanical and Materials Engineering, Queens University, Kingston, Ontario, K7L 3N6, Canada
- *Corresponding Author:
- Yongjun Lai
Mechanical and Materials Engineering Queens University
Kingston, Ontario, K7L 3N6, Canada
E-mail: [email protected]
Received date: February 03, 2016; Accepted date: February 25, 2016; Published date: March 03, 2016
Citation: Richardson A, Rendall J, Lai Y (2016) Light-Weight Energy Consumption Model and Evaluation for Wireless Sensor Networks. Sensor Netw Data Commun 5:137. doi:10.4172/2090-4886.1000137
Copyright: © 2016 Richardson A, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Wireless sensor networks are comprised of low power devices with fixed energy stores. They often require long term operation for successful deployment so it is important to efficiently manage and track their energy usage. To effectively accomplish this across distributed networks requires methods which have low energy cost with minimal error. In this paper we present a straightforward model for energy consumption in wireless sensor networks which is light-weight and accurate. The model has been applied to a wireless sensor network developed by the Queen's University MEMs lab and is evaluated with a custom testbed. Through testing, the model is exposed to realistic disturbances of communication loss, battery effects and variable voltage supplies. It was shown that with 99% packet reception rates in the network, the model accurately estimates end node energy consumption with less than 5% error. These results were demonstrated across varying data rates, battery supply capacities, and runtimes up to full network lifetime.