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Energy Balanced and Efficient Clustering Method for Wireless Sensor Networks


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

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In this paper the energy balanced and efficient clustering method based on balance of energy consumption of nodes in WSN is proposed, which may be applied to any WSN. The almost static centralized protocol that differs from previous methods is proposed, the main feature of which is that the sinks transmit most of control message and process most of data. First, EBEC method is proposed, which optimizes by considering energy consumption on transmitting and receiving data, energy consumption on the reclustering and hot-spot problem that be optimized individually in previous works. In order to implement this method, VW BAK-C algorithm is used by introducing the concept of variable weighted Euclid distance to k-clustering algorithm. Second, the previous clustering methods are classified into random method and the method based on QoS according to the characteristic of cluster head rotation, and average of total energy consumption of nodes is analyzed mathematically. The proposed method is compared and analyzed. Third, the performance of the proposed method is evaluated by comparing with other clustering methods through simulation.

Keywords

WSN, EBEC, Clustering, QoS, Energy Consumption.
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  • Energy Balanced and Efficient Clustering Method for Wireless Sensor Networks

Abstract Views: 272  |  PDF Views: 3

Authors

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

Abstract


In this paper the energy balanced and efficient clustering method based on balance of energy consumption of nodes in WSN is proposed, which may be applied to any WSN. The almost static centralized protocol that differs from previous methods is proposed, the main feature of which is that the sinks transmit most of control message and process most of data. First, EBEC method is proposed, which optimizes by considering energy consumption on transmitting and receiving data, energy consumption on the reclustering and hot-spot problem that be optimized individually in previous works. In order to implement this method, VW BAK-C algorithm is used by introducing the concept of variable weighted Euclid distance to k-clustering algorithm. Second, the previous clustering methods are classified into random method and the method based on QoS according to the characteristic of cluster head rotation, and average of total energy consumption of nodes is analyzed mathematically. The proposed method is compared and analyzed. Third, the performance of the proposed method is evaluated by comparing with other clustering methods through simulation.

Keywords


WSN, EBEC, Clustering, QoS, Energy Consumption.

References