一种基于EBGR算法的无线传感器网络无信标路由算法

Q4 Business, Management and Accounting
Fateme Ganje, A. Mahmoodzadeh
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引用次数: 0

摘要

节能无信标地理路由(EBGR)算法的目的是降低网络的功耗。但它不能在所有条件下选择最佳中继节点。此外,在EBGR算法中,中继节点在接收到数据后再发送数据,这在网络中造成了开销,降低了网络的频谱效率。我们提出了一种改进的方法来提高EBGR算法的性能。在我们提出的方法中,我们将空间划分为几个子空间。每个节点优先将数据传输到位于其自身空间下方的节点,并沿着源到目的方向传输。为了减少电网上的渣,我们还考虑了自适应延迟。这种方法的优点是,如果网络理想,数据到达的延迟最小,如果网络开销很大,延迟率也会增加。
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 beaconless routing algorithm based on EBGR algorithm for wireless sensor networks
The purpose of energy-efficient beaconless geographic routing (EBGR) algorithm is to reduce power consumption in the network. But it cannot select the best relay node in all conditions. Also, in the EBGR algorithm, the relay nodes send their data after receiving them, which creates an overhead in the network and decrease spectral efficiency in the network. We introduce an improved method to improve the performance of the EBGR algorithm. In our proposed method, we have divided the space into several subspaces. Each node prioritises the data transmission to the node that is located beneath its own space and along the source-to-destination direction. In order to reduce the slag on the grid, we have also considered adaptive delay. The advantage of this method is that if the network is ideal, the data arrives with the least delay and if the network has a lot of overhead, the delay rate will also increase.
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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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