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Construction Maximum Lifetime Tree and Adaptation in Wireless Sensor Networks


Affiliations
1 College of Information Science, Kim Il-Sung University, Democratic People's Republic of Korea, Korea, Democratic People's Republic of
2 Institute of Information Science, Kim Il-sung University, Democratic People's Republic of Korea, Korea, Democratic People's Republic of
     

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The maximum lifetime problem in wireless sensor network is important to monitor a set of interesting target locations and route the collected information to a central base station. In this paper, first, we consider the method of construction maximum lifetime tree taking into account general type of data aggregation, exchange of control messages and packet transmission loss. Second, we consider the method increasing lifetime of tree and reducing complexity and latency combining optimization of energy consumption in entire network through quasioptimization of local nodes and adapting. Experiment results show that the proposed method is more robust and valid than the previous method.

Keywords

Wireless Sensor Network (WSN), Maximum Lifetime, Data Gathering Tree.
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  • Kazem Sohraby, Daniel Minoli and Taieb Znati, “Wireless Sensor Networks: Technology, Protocols, and Applications”, John Wiley and Sons, 2007.

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Abstract Views: 238

PDF Views: 4




  • Construction Maximum Lifetime Tree and Adaptation in Wireless Sensor Networks

Abstract Views: 238  |  PDF Views: 4

Authors

Yong Chan Lee
College of Information Science, Kim Il-Sung University, Democratic People's Republic of Korea, Korea, Democratic People's Republic of
Yong Hak Sin
Institute of Information Science, Kim Il-sung University, Democratic People's Republic of Korea, Korea, Democratic People's Republic of
Won Chol Jang
Institute of Information Science, Kim Il-sung University, Democratic People's Republic of Korea, Korea, Democratic People's Republic of

Abstract


The maximum lifetime problem in wireless sensor network is important to monitor a set of interesting target locations and route the collected information to a central base station. In this paper, first, we consider the method of construction maximum lifetime tree taking into account general type of data aggregation, exchange of control messages and packet transmission loss. Second, we consider the method increasing lifetime of tree and reducing complexity and latency combining optimization of energy consumption in entire network through quasioptimization of local nodes and adapting. Experiment results show that the proposed method is more robust and valid than the previous method.

Keywords


Wireless Sensor Network (WSN), Maximum Lifetime, Data Gathering Tree.

References