具有节能中继选择算法的移动无线传感器网络MAC协议

Q4 Business, Management and Accounting

International Journal of Mobile Network Design and Innovation Pub Date : 2017-01-01 DOI:10.1504/IJMNDI.2016.081660

D. Madhavi, Y. Swamy

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引用次数: 0

摘要

本文设计了具有节能中继选择算法的MAC协议。这种中继节点选择应该最小化能量消耗和MAC开销，从而增加网络的生命周期。在该MAC协议中，中继节点RN是根据MAC开销和相对能量使用REU参数选择的。MAC开销由握手信令、帧传输时间FTT和由于传输失败导致的帧重传引起。REU是生成和转发报文的开销与生成报文开销的比值。基于上述参数提出中继节点选择算法，选择MAC开销和REU最小的节点作为中继节点。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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MAC protocol with energy efficient relay selection algorithm for mobile wireless sensor networks

In this paper, we have designed MAC protocol with energy efficient relay selection algorithm. This relay node selection should minimise the energy consumption and MAC overhead, thereby increasing the lifetime of the networks. In this MAC protocol, relay nodes RN are selected based on the MAC overhead and relative energy usage REU parameters. The MAC overhead is incurred by handshake signalling, frame transmission time FTT and frame retransmissions due to transmission failures. The REU is the ratio of cost of generated and forwarded packets to the cost of generated packets. Thus the relay node selection algorithm is proposed based on the above parameters and the node with least MAC overhead and REU is selected as relay node.

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来源期刊

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

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.