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- 저자 : Hongwu Lv (검색결과 2 건)
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HMFS : A Hybrid Message Ferrying Scheme for Clustered Opportunistic Networks
Zhang Yushu,Wang Huiqiang,LV Hongwu,Feng Guangsheng,Zhu Jinmei 보안공학연구지원센터 2015 International Journal of Future Generation Communi Vol.8 No.4
Opportunistic network is an evolution of MANETs to delivery messages in intermittent-ly connected or completely disconnected wireless networks. Message ferrying is an effec-tive routing mode in opportunistic networks. However, the single message ferry routing scheme leads a much higher delay as the increasing of the network scale, comparing with that in small scale opportunistic networks. It has been proved that multiple message fer-ries routing scheme can improve the performance of large scale networks, but the prob-lems of synchronization and coordinate between ferries have a bad effect on the routing efficiency. To solve these problems, a Hybrid Message Ferrying Scheme (HMFS) for clus-tered opportunistic networks is proposed. In HMFS, we divide the communication area into multiple regions based on clustering results and several cross zones containing the regions. A local ferry is deployed in each region to deliver messages in the region, and several global ferries are deployed according to horizontal and vertical zones to commu-nicate among the regions. Moreover, each region has a ferry relay node in it, which is used to orchestrate the local ferry and global ferries. Through the theoretical analysis and simulation results, we can see that HMFS can improve the effect of routing in oppor-tunistic networks in terms of network latency and delivery ratio.
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Expanding Ring Search Energy Analysis and Optimization for Wireless Sensor Networks
Xiuxiu Wen,Huiqiang Wang,Guangsheng Feng,Hongwu Lv,Junyu Lin,Qiang Zhu 보안공학연구지원센터 2016 International Journal of Smart Home Vol.10 No.9
Expanding Ring Search (ERS) is an advanced flooding technique exploring for targets progressively. It is widely used to locate destinations or information in wireless sensor networks. In this paper, a fundamental problem concerning the best ERS strategy to minimize energy cost in wireless sensor networks is addressed. We propose a model for estimating the average energy cost of ERS strategies, and a model for comparing the energy cost of an ERS strategy with pure flooding. The second model is then used to prove that incremental ERS strategies are inefficient in large-scale wireless sensor networks. Furthermore, we propose an ERS strategy optimization algorithm SSetOpt, which can be applied to both dense wireless sensor networks and sparse ones. The simulation results show that the strategy obtained by SSetOpt can cost 5% less energy than prior works when the network is sparse, say, the average degree is less than 30..
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