무선 센서 네트워크를 위한 에너지 효율적인 계층적 클러스터링 알고리즘
An Energy Efficient Hierarchical Clustering Algotithm for Wireless Sensor Networks
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Clustering allows hierarchical structures tobe built on the nodes and enables more efficient use of scarce resources, such as frequency spectrum, bandwidth, and energu in wireless sensor networks (WSNs). This paper proposes a hierarchical clustering algorithm calle EEHC which is more energy efficient than exisiting algorithms for WSNs, It intoduces region node selection as well as cluster head eletion based on the residual battery capacity of nodes to reduce the costs of managing sensor nodes and of the communication among them. The role of cluster heads or region nodes is rotated among node. To do this, EEHC clusters peripdically to select sluster heads that are richer in residual energy level, compared to the other nodes, according to clustering policies from administrators. To prove the performance improvement of EEHC, the ns-2 simulator was used. The results show that it can reduce the energy and bandwidth consumption for organizing and managing WSNs comparing it with exisitng algorithms.
Abstract
Clustering allows hierarchical structures tobe built on the nodes and enables more efficient use of scarce resources, such as frequency spectrum, bandwidth, and energu in wireless sensor networks (WSNs). This paper proposes a hierarchical clustering algorithm calle EEHC which is more energy efficient than exisiting algorithms for WSNs, It intoduces region node selection as well as cluster head eletion based on the residual battery capacity of nodes to reduce the costs of managing sensor nodes and of the communication among them. The role of cluster heads or region nodes is rotated among node. To do this, EEHC clusters peripdically to select sluster heads that are richer in residual energy level, compared to the other nodes, according to clustering policies from administrators. To prove the performance improvement of EEHC, the ns-2 simulator was used. The results show that it can reduce the energy and bandwidth consumption for organizing and managing WSNs comparing it with exisitng algorithms.
참고문헌 (10)
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