接触时间感知的移动WSNs路由
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摘要
多数无线传感网络应用中需要处理节点移动性,为此,面向移动无线传感网络(M-WSNs),提出基于接触时间的区路由(CTAR)。CTAR路由先利用源节点和目的节点的相对位置信息形成活动区,只有区内的节点才能参与路由;然后,利用节点的移动矢量信息选择能够最大化接触时间的邻居节点作为下一跳转发节点。仿真数据表明,与RoF协议相比,CTAR协议的数据包传递率得到有效提高。
The node mobility needs to be processed in most applications of the wireless sensor network. Therefore,a contact time-area based routing(CTAR)is proposed for mobile wireless sensor networks(M-WSNs). In the CTAR,the relative position information of the source node and destination node is used to form the active region,and only nodes within the region are allowed to participate in routing. The mobility vector information of the node is used to select the neighbor node that can maximize the contact time as the next-hop forwarding node. The simulation data shows that the data packet delivery ratio of the CTAR protocol is effectively improved in comparison with that of the RoF protocol.
The node mobility needs to be processed in most applications of the wireless sensor network. Therefore,a contact time-area based routing(CTAR)is proposed for mobile wireless sensor networks(M-WSNs). In the CTAR,the relative position information of the source node and destination node is used to form the active region,and only nodes within the region are allowed to participate in routing. The mobility vector information of the node is used to select the neighbor node that can maximize the contact time as the next-hop forwarding node. The simulation data shows that the data packet delivery ratio of the CTAR protocol is effectively improved in comparison with that of the RoF protocol.
引文
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[2] SILVA R,SILVA J S,BOAVIDA F. Mobility in wireless sensor networks:survey and proposal[J]. Computer communications,2014,52(6):1-20.
[3] SARA G S,SRIDHARAN D. Routing in mobile wireless sensor network:a survey[J]. Telecommunication systems,2014,57(1):51-79.
[4] BOUBEKRI A, AJIB W, BOUKADOUM M. EAM:energy aware mobility over wireless sensor networks[C]//Proceedings of the 30th IEEE Canadian Conference on Electrical and Computer Engineering. Windsor:IEEE,2017:1-6.
[5]孙毅,孙跃,曾璐琨,等.基于最优连通功率控制的WSNs跨层路由优化算法[J].传感器与微系统,2014,33(11):135-138.SUN Yi,SUN Yue,ZENG Lukun,et al. Cross-layer routing optimization algorithm for WSNs based on optimal connectivity power control[J]. Transducer and microsystem technologies,2014,33(11):135-138.
[6] LUO J,HU J,WU D,et al. Opportunistic routing algorithm for relay node selection in wireless sensor networks[J]. IEEE transactions on industrial informatics,2015,11(1):112-121.
[7] SARMA H K D,KAR A,MALL R. Energy efficient and reliable routing for mobile wireless sensor networks[C]//Proceedings of the 6th IEEE International Conference on Distributed Computing in Sensor Systems Workshops. Santa Barbara:IEEE,2010:1-6.
[8] GADDOUR O,KOUB?A A,RANGARAJAN R,et al. CoRPL:RPL routing for mobile low power wireless sensor networks using corona mechanism[C]//Proceedings of the 9th IEEE International Symposium on Industrial Embedded Systems. Pisa:IEEE,2014:200-209.
[9] AMUNDSON I,KOUTSOUKOS X D. A survey on localization for mobile wireless sensor networks[C]//Proceedings of the2nd International Conference on Mobile Entity Localization and Tracking in GPS-less Environments. Berlin:Springer,2009:235-254.
[10] SREEJITH V,SURVE R,VYAS N,et al. Area based routing protocol for mobile wireless sensor networks[C]//Proceedings of 2018 IEEE International Conference on Information Networking. Chiang Mai:IEEE,2018:781-789.
[11] LI L,SUN L,MA J,et al. A receiver-based opportunistic forwarding protocol for mobile sensor networks[C]//Proceedings of the 28th International Conference on Distributed Computing Systems Workshops. Beijing:IEEE,2008:198-203.
[12] KARP B,KUNG H T. GPSR:greedy perimeter stateless routing for wireless networks[C]//Proceedings of the 6th Annual International Conference on Mobile Computing and Networking.Boston:IEEE,2000:243-254.