A Study on the Statistical Estimation Framework of Energy Saving Effectiveness for Sensor Nodes of a Wireless Sensor Network

Abstract

We propose a statistical estimation framework to assess energy saving effectiveness of the sensor nodes which have been deployed in a rough physical environment and consisted in a wireless sensor network by use of the Bayesian maximum likelihood estimation procedure. Accordingly, we formulate Bayesian maximum likelihood estimation framework for the system energy saving effectiveness of sensor nodes in a wireless sensor network using non-informative prior information about means of active and sleep times based on time frames of sensor nodes under the T-MAC which is known as most energy efficient CSMA contention-based MAC protocols.