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A SHIP NETWORK DYNAMIC ROUTING ALGORITHM BASED ON VECTOR NETWORK

Abstract

In 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.

Keywords:

Ship network, Vector Network, Vector address, Routes discovery, Wireless Sensor Network

Details

Issue
Vol. 25 No. S2(98) (2018)
Section
Latest Articles
Published
10-09-2018
DOI:
https://doi.org/10.2478/pomr-2018-0075
Licencja:
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Open Access License

This journal provides immediate open access to its content under the Creative Commons BY 4.0 license. Authors who publish with this journal retain all copyrights and agree to the terms of the CC BY 4.0 license.

 

Authors

  • Jianguang Zhao

    Institute of Information Science, Beijing Jiaotong University; Information Engineering Institute, Hebei Institute of Architectural and Civil Engineering
  • Jingjing Fan

    Institute of Information Science, Beijing Jiaotong University

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