计算机科学与探索
計算機科學與探索
계산궤과학여탐색
Journal of Frontiers of Computer Science & Technology
2015年
10期
1219-1228
,共10页
三维无线传感器网络%最优距离路由算法%细胞分簇%节能
三維無線傳感器網絡%最優距離路由算法%細胞分簇%節能
삼유무선전감기망락%최우거리로유산법%세포분족%절능
three dimensional wireless sensor networks%optimal distance routing algorithm%cell clustering%energy saving
随着物联网的兴起,无线传感器网络(wireless sensor networks,WSN)的应用日益广泛,路由算法作为网络层的核心技术,成为无线传感器网络研究的热点问题。考虑到传感器节点能量有限的特性,提出了一种三维无线传感器网络中的新型路由算法。基于生物细胞选择和分布式系统设计的相似性,设计了生物细胞节点分簇方法。为了最小化网络能耗和最大化网络生存时间,设计了最优距离路由算法。将分簇方法和路由算法结合,采用分簇方法将网络中所有节点进行分簇,运行路由算法完成簇内和簇间寻路。进行了仿真实现,并基于不同网络拓扑进行了性能评价,结果表明,与现有的典型算法相比,该路由算法能够有效地降低网络能量消耗,延长网络生存时间。
隨著物聯網的興起,無線傳感器網絡(wireless sensor networks,WSN)的應用日益廣汎,路由算法作為網絡層的覈心技術,成為無線傳感器網絡研究的熱點問題。攷慮到傳感器節點能量有限的特性,提齣瞭一種三維無線傳感器網絡中的新型路由算法。基于生物細胞選擇和分佈式繫統設計的相似性,設計瞭生物細胞節點分簇方法。為瞭最小化網絡能耗和最大化網絡生存時間,設計瞭最優距離路由算法。將分簇方法和路由算法結閤,採用分簇方法將網絡中所有節點進行分簇,運行路由算法完成簇內和簇間尋路。進行瞭倣真實現,併基于不同網絡拓撲進行瞭性能評價,結果錶明,與現有的典型算法相比,該路由算法能夠有效地降低網絡能量消耗,延長網絡生存時間。
수착물련망적흥기,무선전감기망락(wireless sensor networks,WSN)적응용일익엄범,로유산법작위망락층적핵심기술,성위무선전감기망락연구적열점문제。고필도전감기절점능량유한적특성,제출료일충삼유무선전감기망락중적신형로유산법。기우생물세포선택화분포식계통설계적상사성,설계료생물세포절점분족방법。위료최소화망락능모화최대화망락생존시간,설계료최우거리로유산법。장분족방법화로유산법결합,채용분족방법장망락중소유절점진행분족,운행로유산법완성족내화족간심로。진행료방진실현,병기우불동망락탁복진행료성능평개,결과표명,여현유적전형산법상비,해로유산법능구유효지강저망락능량소모,연장망락생존시간。
With the thriving of the Internet of things, the applications of wireless sensor networks (WSN) become more and more extensive. As the core technology of the network layer, the routing algorithm has become a hot issue for wireless sensor networks. Taking the limited energy of sensor node into account, this paper proposes a novel routing algorithm. Firstly, this paper devises a biological cell clustering method based on similarity between biological cell selection and distributed systems. In order to minimize the energy consumption and maximize the network lifetime, this paper proposes an optimal distance routing algorithm. With the combination of the devised clustering method and the proposed routing algorithm, all nodes are divided into clusters, and intra-cluster routing and inter-cluster routing are accomplished to transfer data. The proposed algorithm has been implemented by simulation, and the performance evaluation has been done over different network topologies. Simulation results show that the proposed algorithm can reduce the network energy consumption and extend the network lifetime effectively with better perfor-mance than existent routing algorithms.