2026-08-24T23:02:57Z https://meral.edu.mm/oai

oai:meral.edu.mm:recid/4394 2021-12-13T01:52:10Z 1582963302567:1597824273898 user-ucsy

A Study on the Statistical Estimation Framework of Energy Saving Effectiveness for Sensor Nodes of a Wireless Sensor Network Kim, Myong Hee Kim, Chang-Soo Rhee, Kyung-Hyune Park, Man-Gon We propose a statistical estimation framework to assessenergy saving effectiveness of the sensor nodes whichhave been deployed in a rough physical environment andconsisted in a wireless sensor network by use of theBayesian maximum likelihood estimation procedure.Accordingly, we formulate Bayesian maximum likelihoodestimation framework for the system energy savingeffectiveness of sensor nodes in a wireless sensor networkusing non-informative prior information about means ofactive and sleep times based on time frames of sensornodes under the T-MAC which is known as most energyefficient CSMA contention-based MAC protocols. 2011-05-05 http://hdl.handle.net/20.500.12678/0000004394 https://meral.edu.mm/records/4394