dc.contributor.author | Kim, Myong Hee | |
dc.contributor.author | Kim, Chang-Soo | |
dc.contributor.author | Rhee, Kyung-Hyune | |
dc.contributor.author | Park, Man-Gon | |
dc.date.accessioned | 2019-07-03T06:36:18Z | |
dc.date.available | 2019-07-03T06:36:18Z | |
dc.date.issued | 2011-05-05 | |
dc.identifier.uri | http://onlineresource.ucsy.edu.mm/handle/123456789/233 | |
dc.description.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. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Ninth International Conference On Computer Applications (ICCA 2011) | en_US |
dc.title | A Study on the Statistical Estimation Framework of Energy Saving Effectiveness for Sensor Nodes of a Wireless Sensor Network | en_US |
dc.type | Article | en_US |