一种面向移动物联网环境的动态路由新协议
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摘要
针对车辆自组织网络(VANET)等移动物联网中网络拓扑变化频繁问题,我们提出了一种面向移动物联网环境的动态路由新协议.该协议将连通概率作为重要参数,其计算方法依据参数节点和它的最近节点的间距,间距的分布按照指数分布;协议中采用了贪婪机会转发(GOF)策略,GOF策略在包的递交率和平均跳数等方面有效提高了车辆网等移动物联网目标的性能.一系列的测试表明,与传统的路由协议相比,我们设计的协议在递交率、平均跳数以及端到端的延时等方面均表现出很好的效果.
In order to solve the frequent changes of network topology in VANET of Mobile Internet of Things(IOT),we propose a kind of new dynamic routing protocol for mobile IOT.The probability of connectivity as an important parameter of the dynamic routing method is used in this protocol,at the same time,it includes a new method to calculate the probability of connectivity which is based on the distance(spacing)of the parameters node and its nearest node(the distribution of the spacing is exponentially distributed).The proposed routing protocol uses the Greedy Opportunity Forwarding(GOF)strategy.The GOF effectively improves the performance of the car networking in terms of packet delivery rate and average number of hops,and improves the performance of the algorithm in the application of mobile IOT.
In order to solve the frequent changes of network topology in VANET of Mobile Internet of Things(IOT),we propose a kind of new dynamic routing protocol for mobile IOT.The probability of connectivity as an important parameter of the dynamic routing method is used in this protocol,at the same time,it includes a new method to calculate the probability of connectivity which is based on the distance(spacing)of the parameters node and its nearest node(the distribution of the spacing is exponentially distributed).The proposed routing protocol uses the Greedy Opportunity Forwarding(GOF)strategy.The GOF effectively improves the performance of the car networking in terms of packet delivery rate and average number of hops,and improves the performance of the algorithm in the application of mobile IOT.
引文
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[14]Eiza M.An evolving graph-based reliable routing scheme for VANETs[J].IEEE Transactions on Vehicular Technology,2013,62(4):1493-1504.
[15]Toutouh.Intelligent OLSR routing protocol optimization for VANETs[J].IEEE Transactions on Vehicular Technology,2012,61(4):1884-1894.
[16]Yanan Zhu.A new constructing approach for a weighted topology of wireless sensor networks based on local-world theory for the Internet of Things(IOT)[J].Computers&Mathematics with Applications,2012,64(5):1044-1055.
[17]Degan Zhang,Xiang Wang,Xiaodong Song.A novel approach to mapped correlation of ID for RFID anti-collision[J].IEEE Transactions on Services Computing,2014,7(4):741-748.
[18]Jerbi M.Towards efficient geographic routing in urban vehicular networks[J].IEEE Transactions on Vehicular Technology,2009,58(9):5048-5059.
[19]Sourav K B.SIR:a secure and intelligent routing protoco for vehicular ad hoc network[J].IET Networks,2015,4(3):185-194.
[20]Chuang P.Efficient vehicular ad-hoc networks routing based on junctions[J].Iet Communications,2015,9(4):487-493.
[21]Al-Rabayah.A new scalable hybrid routing protocol for VANETs[J].IEEE Transactions on Vehicular Technology,2012,61(6):2625-2635.
[22]Cheng L.Effects of intervehicle spacing distributions on connectivity of VANET:a case study from measured highway traffic[J].IEEE Communication,2012,50(10):90-97.
[23]Goonewardene.Robust mobility adaptive clustering scheme with support for geographic routing for vehicular ad hoc networks[J].IEEE Transactions on Intelligent Transport Systems,2009,3(2):148-158.
[24]Zhao C P.A new medium access control protocol based on perceived data reliability and spatial correlation in wireless sensor network[J].Computers&Electrical Engineering.2012,38(3):694-702.
[25]Niu H L,Liu S.Novel positioning service computing method for WSN[J].Wireless Personal Communications,2017,92(4):1747-1769.
[26]Song X D,Wang X.New agent-based proactive migration method and system for big data environment(BDE)[J].Engineering Computations,2015,32(8):2443-2466.
[2]Yanping Liang.A kind of novel method of service-aware computing for uncertain mobile applications[J].Mathematical and Computer Modelling,2013,57(3-4):344-356.
[3]Jie-qiong Chen,Guo-qiang Mao.Capacity of Cooperative Vehicular Networks with Infrastructure Support:Multi-user Case[J].IEEE Transactions on Vehicular Technology,2018,67(2):1546-1560.
[4]Ke Zheng,Ting Zhang.A novel multicast routing method with minimum transmission for WSN of cloud computing service[J].Soft Computing,2015,19(7):1817-1827.
[5]Al-Sultan,Saif.A comprehensive survey on vehicular Ad Hoc network[J].Journal of Network&Computer Applications,2014,37(1):380-392.
[6]Xiaodan Zhang.Design and implementation of embedded uninterruptible power supply system(EUPSS)for web-based mobile application[J].Enterprise Information Systems,2012,6(4):473-489.
[7]Degan Zhang.A new approach and system for attentive mobile learning based on seamless migration[J].Applied Intelligence,2012,36(1):75-89.
[8]Irshad A.A traffic flow-oriented routing protocol for VANETs[J].Eurasip Journal on Wireless Communications&Networking,2014(1):12-14.
[9]Ke Zheng,Dexin Zhao.Novel quick start(QS)method for qptimization of TCP[J].Wireless Networks,2016,22(1):211-222.
[10]Zhinan Li.Smooth mobility and link reliability-based optimized link state routing scheme for MANET[J].IEEE Communications Letters,2017,21(7):1529-1532.
[11]Zhou S,Ya-meng Tang.A low duty cycle efficient MACprotocol based on self-adaption and predictive strategy[J].Mobile Networks and Applications,2017(2):10.1007/s11036-017-0878-x.
[12]Si Liu,Ting Zhang.Novel unequal clustering routing protocol considering energy balancing based on network partition&distance for mobile education[J].Journal of Network and Computer Applications,2017,88(15):1-9.
[13]Jerbi M.Towards efficient geographic routing in urban vehicular networks[J].IEEE Transactions on Vehicular Technology,2009,58(9):5048-5059.
[14]Eiza M.An evolving graph-based reliable routing scheme for VANETs[J].IEEE Transactions on Vehicular Technology,2013,62(4):1493-1504.
[15]Toutouh.Intelligent OLSR routing protocol optimization for VANETs[J].IEEE Transactions on Vehicular Technology,2012,61(4):1884-1894.
[16]Yanan Zhu.A new constructing approach for a weighted topology of wireless sensor networks based on local-world theory for the Internet of Things(IOT)[J].Computers&Mathematics with Applications,2012,64(5):1044-1055.
[17]Degan Zhang,Xiang Wang,Xiaodong Song.A novel approach to mapped correlation of ID for RFID anti-collision[J].IEEE Transactions on Services Computing,2014,7(4):741-748.
[18]Jerbi M.Towards efficient geographic routing in urban vehicular networks[J].IEEE Transactions on Vehicular Technology,2009,58(9):5048-5059.
[19]Sourav K B.SIR:a secure and intelligent routing protoco for vehicular ad hoc network[J].IET Networks,2015,4(3):185-194.
[20]Chuang P.Efficient vehicular ad-hoc networks routing based on junctions[J].Iet Communications,2015,9(4):487-493.
[21]Al-Rabayah.A new scalable hybrid routing protocol for VANETs[J].IEEE Transactions on Vehicular Technology,2012,61(6):2625-2635.
[22]Cheng L.Effects of intervehicle spacing distributions on connectivity of VANET:a case study from measured highway traffic[J].IEEE Communication,2012,50(10):90-97.
[23]Goonewardene.Robust mobility adaptive clustering scheme with support for geographic routing for vehicular ad hoc networks[J].IEEE Transactions on Intelligent Transport Systems,2009,3(2):148-158.
[24]Zhao C P.A new medium access control protocol based on perceived data reliability and spatial correlation in wireless sensor network[J].Computers&Electrical Engineering.2012,38(3):694-702.
[25]Niu H L,Liu S.Novel positioning service computing method for WSN[J].Wireless Personal Communications,2017,92(4):1747-1769.
[26]Song X D,Wang X.New agent-based proactive migration method and system for big data environment(BDE)[J].Engineering Computations,2015,32(8):2443-2466.