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- 저자 : Dezhong Shang (검색결과 2 건)
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An Energy Efficient Localized Topology Control Algorithm for Wireless Multihop Networks
Shang, Dezhong,Zhang, Baoxian,Yao, Zheng,Li, Cheng The Korea Institute of Information and Commucation 2014 Journal of communications and networks Vol.16 No.4
Localized topology control is attractive for obtaining reduced network graphs with desirable features such as sparser connectivity and reduced transmit powers. In this paper, we focus on studying how to prolong network lifetime in the context of localized topology control for wireless multi-hop networks. For this purpose, we propose an energy efficient localized topology control algorithm. In our algorithm, each node is required to maintain its one-hop neighborhood topology. In order to achieve long network lifetime, we introduce a new metric for characterizing the energy criticality status of each link in the network. Each node independently builds a local energy-efficient spanning tree for finding a reduced neighbor set while maximally avoiding using energy-critical links in its neighborhood for the local spanning tree construction. We present the detailed design description of our algorithm. The computational complexity of the proposed algorithm is deduced to be O(mlog n), where m and n represent the number of links and nodes in a node's one-hop neighborhood, respectively. Simulation results show that our algorithm significantly outperforms existing work in terms of network lifetime.
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An Energy Efficient Localized Topology Control Algorithm for Wireless Multihop Networks
Dezhong Shang,Baoxian Zhang,Zheng Yao,Cheng Li 한국통신학회 2014 Journal of communications and networks Vol.16 No.4
Localized topology control is attractive for obtaining reducednetwork graphs with desirable features such as sparser connectivityand reduced transmit powers. In this paper, we focus onstudying how to prolong network lifetime in the context of localizedtopology control for wireless multi-hop networks. For this purpose,we propose an energy efficient localized topology control algorithm. In our algorithm, each node is required to maintain its one-hopneighborhood topology. In order to achieve long network lifetime,we introduce a new metric for characterizing the energy criticalitystatus of each link in the network. Each node independentlybuilds a local energy-efficient spanning tree for finding a reducedneighbor set while maximally avoiding using energy-critical linksin its neighborhood for the local spanning tree construction. Wepresent the detailed design description of our algorithm. The computationalcomplexity of the proposed algorithm is deduced to beO(mlog n), where m and n represent the number of links andnodes in a node’s one-hop neighborhood, respectively. Simulationresults show that our algorithm significantly outperforms existingwork in terms of network lifetime.
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