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2018 | 25 | Special Issue S2 |

Tytuł artykułu

A ship network dynamic routing algorithm based on vector network

Autorzy

Warianty tytułu

Języki publikacji

EN

Abstrakty

EN
n view of the characteristics of low speed mobile ship network, strong network dynamics and large signal interference, this paper proposes a low-rate mobile sensor network routing algorithm. In mobile wireless sensor networks, network topology changes frequently is a new challenge for resource constrained sensor node. Constantly updated network topology, sensor nodes need to exchange data frequently in order to maintain fresh route, resulting in sensor nodes consume a lot of energy. To solve this problem, to reduce control overhead is considered to be an effctive strategy. In this paper, we present a vector network-based dynamic routes (VNDR) scheme aims to minimize the control cost of the sensor nodes. We propose data exchange based on binary-coded vector address to reduce the control cost, moreover, we present a set of communication rules that govern the routes search procedure thereby requiring little cost of packet analysis to determine the next hop of node. VNDR performance was compared with well known scheme such as SPIN and DD. Simulation results show that, our VNDR scheme reduced the network control overhead and improved network lifetime

Słowa kluczowe

Wydawca

-

Rocznik

Tom

25

Opis fizyczny

p.62-68,fig.,ref.

Twórcy

autor
  • Institute of Information Science, Beijing Jiaotong University, Beijing, China
  • Information Engineering Institute, Hebei Institute of Architectural and Civil Engineering, Zhangjiakou, Hebei, China
autor
  • Institute of Information Science, Beijing Jiaotong University, Beijing, China

Bibliografia

  • 1. Abdul Waheed Khan, Abdul Hanan Abdullah,Mohammad Abdur Razzaque,and Javed Iqbal Bangash. VGDRA: A Virtual Grid-Based Dynamic Routes Adjustment Scheme for Mobile Sink-Based Wireless Sensor Networks, IEEE SENSORS JOURNAL, VOL. 15, NO. 1, JANUARY 2015
  • 2. Ravinder Kaura, Kamal Preet Singhb. An Efficient Multipath Dynamic Routing Protocol for Mobile WSNs, International Conference on Information and Communication Technologies (ICICT 2014),Procedia Computer Science 46 (2015) 1032–1040
  • 3. Tapan Kumar Jain, Davinder Singh Saini, and Sunil Vidya Bhooshan.Lifetime Optimization of a Multiple Sink Wireless Sensor Network through Energy Balancing.Journal of Sensors Volume 2015, Article ID 921250, 6 pages
  • 4. Jiliang Wang,Wei Dong,Zhichao Cao,and Yunhao Liu. On the Delay Performance in a Large-Scale Wireless Sensor Network: Measurement, Analysis, and Implications. IEEE/ACM TRANSACTIONS ON NETWORKING,
  • 5. Gabriel Mujica,Jorge Portilla,Teresa Riesgo. Performance evaluation of an AODV-based routing protocol implementation by using a novel in-field WSN diagnosis tool. Microprocessors and Microsystems 39 (2015) 920–938
  • 6. B.Baranidharan, B.Santhi. DUCF: Distributed load balancing Unequal Clustering in wirelesssensor networks using Fuzzy approach. Applied Soft Computing 40 (2016) 495–506
  • 7. Mohammad Hammoudeh, Robert Newman. Adaptive routing in wireless sensor networks: QoS optimisation for enhanced application performance. Information Fusion, Volume 22, March 2015, pp. 3–15
  • 8. Fatemeh Mansourkiaie, Mohamed H. Ahmed. Per-Node Traffic Load in Cooperative Wireless Sensor Networks. IEEE COMMUNICATIONS LETTERS, VOL. 20, NO. 2, FEBRUARY 2016
  • 9. Suraj Sharma and Sanjay Kumar Jena. Cluster based Multipath Routing Protocol for Wireless Sensor Networks.ACM SIGCOMM Computer Communication Review, Volume 45, Number 2, April 2015
  • 10. Saeid Mottaghi, Mohammad Reza Zahabi. Optimizing LEACH clustering algorithm with mobile sink andrendezvous nodes. Int.J.Electron.Commun.(AEÜ) 69(2015)50–514
  • 11.EtimadFadel,V.C.Gungor,LailaNassef,NadineAkkari,M.G.AbbasMalik,SuleimanAlmasri,IanF.Akyildiz.A survey on wireless sensor networks for smart grid. Computer Communications 71 (2015) 22–33
  • 12. José J. Anaya, Edgar Talavera, Felipe Jiménez, Francisco Serradilla, José E. Naranjo. Vehicle to Vehicle GeoNetworking using Wireless Sensor Networks. Ad Hoc Networks 27 (2015) 133–146
  • 13. T.Hayes, F.H.Ali. Proactive Highly Ambulatory Sensor Routing (PHASeR) protocol for mobile wireless sensor networks. Pervasive and Mobile Computing 21 (2015) 47–61
  • 14. Zhang Shuai, Liang, Man-Gui, Jiang Zhong-Yuan, Li Hui-Jia. Improved efficient static weighted routing strategy on two-layer complex networks, International Journal of Modern Physics C, 2015, 26(1).
  • 15. An, Wenjuan, Liang, Mangui, Liu, He. An improved one-class support vector machine classifier for outlier detection, Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2015, 229(3): 580–588.
  • 16. Jiang Zhong-Yuan, Liang Man-Gui, An Wen-Juan. Effects of efficient edge rewiring strategies on network transport efficiency, Physica A: Statistical Mechanics and Its Applications, 2014, 394: 379–385.
  • 17. Zhang Shuai, Liang Man-Gui, Jiang Zhong-Yuan, Wu Jia-Jing. Effective strategy of adding links for improving network transport efficiency on complex networks, International Journal of Modern Physics C, 2014, 25(6).
  • 18. Liu He, Liang Mangui. Privacy-preserving registration protocol for mobile network, International Journal of mmunication Systems, 2014, 27(10): 1653–1671.
  • 19. Wang Shujuan, Liang Mangui. An Efficient Multicast Strategy for On-Demand Data Dissemination in Wireless Networks, Journal of Internet Technology, 2014, 15(4): 557–564.
  • 20. Zhang Shuai, Liang Man-Gui, Li Hui-Jia. Method to enhance traffic capacity for two-layer complex networks,Canadian Journal of Physics, 2014, 92(12):1599–1605.
  • 21. Jiang Zhong-Yuan, Liang Man-Gui, Wu Jia-Jing. Dynamic Source Routing Strategy for Two-Level Flows on Scale-Free Networks, PLos One, 2013, 8(12).

Typ dokumentu

Bibliografia

Identyfikatory

Identyfikator YADDA

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