All-IP WSN backbone formation based on location information

Q4 Business, Management and Accounting
Qi Sun, Xiaonan Wang, D. Wang
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引用次数: 0

Abstract

This paper proposes an all-IP WSN formation scheme based on location information. In the scheme, the all-IP WSN architecture based on location information is proposed and it can use a small number of backbone nodes to cover the entire WSN area, so the network formation cost and delay are reduced. Based on the architecture, the backbone node election algorithm and the backbone tree formation algorithm are proposed. Through a backbone tree, the routing can be achieved without either route discovery or routing information storage. Based on the architecture, the backbone tree maintenance algorithm is also proposed to maintain the backbone tree topology so that the routing correctness can be ensured. The performance parameters of this proposal are evaluated and compared, and the data results show that this proposal effectively reduces the network formation delay and cost.
基于位置信息的全ip WSN主干网形成
提出了一种基于位置信息的全ip无线传感器网络形成方案。该方案提出了基于位置信息的全ip WSN架构,可以使用少量骨干节点覆盖整个WSN区域,从而降低了网络的形成成本和时延。在此基础上,提出了主干节点的选择算法和主干树的形成算法。通过骨干树,既不需要发现路由,也不需要存储路由信息。在此基础上,提出了主干树维护算法,对主干树拓扑进行维护,保证路由的正确性。对该方案的性能参数进行了评价和比较,数据结果表明,该方案有效地降低了网络的形成延迟和成本。
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来源期刊
International Journal of Mobile Network Design and Innovation
International Journal of Mobile Network Design and Innovation Business, Management and Accounting-Management Information Systems
CiteScore
0.30
自引率
0.00%
发文量
0
期刊介绍: The IJMNDI addresses the state-of-the-art in computerisation for the deployment and operation of current and future wireless networks. Following the trend in many other engineering disciplines, intelligent and automatic computer software has become the critical factor for obtaining high performance network solutions that meet the objectives of both the network subscriber and operator. Characteristically, high performance and innovative techniques are required to address computationally intensive radio engineering planning problems while providing optimised solutions and knowledge which will enhance the deployment and operation of expensive wireless resources.
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