一种新的IEEE 802.15.4无线传感器网络形成方案

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

摘要

提出了一种新的IEEE 802.15.4无线传感器网络树形结构的组网方案。该方案由网络编队初始化算法和网络编队维护算法组成。在初始化算法中,每个节点首先计算到达网络中所有其他节点的路由路径长度,然后选择路径长度最小的节点作为根节点。这样可以减少路由路径的平均长度,从而缩短路由延迟。执行初始化算法后,执行维护算法,维护树型拓扑。当树的拓扑结构发生变化时,维护算法可以动态调整根,以减少路由路径的平均长度,缩短路由延迟。该方案采用信标实现初始化算法和维护算法,避免了额外的开销和延迟。对该方案进行了分析和评价,数据结果表明,该方案有效地减少了路由路径的平均长度,缩短了路由延迟。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A novel formation scheme for IEEE 802.15.4 WSN
This paper proposes a novel formation scheme for an IEEE 802.15.4 wireless sensor network which is organised into a tree topology. This scheme consists of the network formation initialisation algorithm and the network formation maintenance algorithm. In the initialisation algorithm, each node first calculate the lengths of routing paths reaching all other nodes in the network, and then the node with the minimum path length is elected as a root. In this way, the average length of the routing paths is reduced and accordingly the routing delay is also shortened. After the initialisation algorithm is executed, the maintenance algorithm is performed to maintain the tree topology. When the tree topology changes, the maintenance algorithm can dynamically adjust the root in order to reduce the average length of the routing paths and shorten the routing delay. This scheme employs beacons to achieve the initialisation algorithm and the maintenance algorithm, so the extra costs and delays are avoided. This scheme is analysed and evaluated, and the data results show that this scheme effectively reduces the average length of the routing paths and shortens the routing delay.
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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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