manet中查询包控制广播的节能技术

Q4 Business, Management and Accounting
Naeem Ahmad, S. Z. Hussain
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引用次数: 4

摘要

在计算机通信网络中,每个路由协议都通过路由发现来寻找最优路径,这涉及到在网络上广播查询数据包。当查询数据包在网络中不必要地循环时,开销会变得太大。这些不受欢迎的数据包会导致网络拥塞问题。时间高效的BERS (tBERS)是一种减少此类费用的可控驱油技术。从我们的结果中,我们分析了它在查询重传和链路中断方面的性能随着路由重建问题的增加而降低。在这种情况下,我们需要减少由于链接中断而导致的查询数据包重传。在本文中,我们提出了减少查询数据包重传的节能的BERS (eBERS)技术。它使tBERS的重传率降低了15% ~ 20%,能量耗尽率降低了29% ~ 56%。此外,eBERS还将链路中断的数量和平均延迟分别减少了9%-25%和36%-46%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Power saving technique for controlled broadcast of query packet in MANETs
In computer communication networks, every routing-protocol makes a route-discovery to find the optimal path which involves broadcasting of the query-packet over the network. It becomes too expensive when query-packets circulate unnecessarily in the network. These undesirable packets cause the problem of congestion in the network. Time-efficient BERS (tBERS) is one of the controlled flooding techniques that lessens such expenses. From our results, we analysed that its performance in terms of query-retransmission and link-breaks degrade as route-reconstruction problem increases. In such situations, we need to lessen the retransmission of query-packets due to link breaks. In this paper, we have proposed energy-efficient BERS (eBERS) technique that reduces the retransmission of the query-packets. It reduced the retransmission between the magnitude of 15%-20% and energy exhaustion ratio between 29%-56% in tBERS. Furthermore, eBERS also reduced the number of link breaks and average latency between 9%-25% and 36%-46%, respectively.
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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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