一种基于能量感知的自组网最优路径选择策略

Q4 Business, Management and Accounting
M. Kokilamani, E. Karthikeyan
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引用次数: 2

摘要

如今,大多数临时移动设备都是靠电池供电的。为了使移动网络的寿命最大化,必须使各节点的功耗均匀分布,并使每次连接请求的总传输功率最小。但是许多路由协议都没有将能量作为选择路由的重要因素。这将导致最早的节点耗尽和网络故障。本文提出了一种利用能量因子进行路径选择的新方法,即能量感知ad-hoc按需多路径距离矢量路由协议。该方案试图通过在路径上选择能量感知节点的方式来解决上述问题。在路由选择过程中,只有当节点的能量值大于最小阈值时才会考虑该节点。用NS2仿真器对所提出的模型进行了测试,得到了显著的结果。
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 optimal path selection strategy in MANET using energy awareness
Today, most ad hoc mobile devices operate on batteries. To maximise the lifetime of mobile networks, the power consumption rate of each node must be evenly distributed, and the overall transmission power for each connection request must be minimised. But many proposed routing protocols do not consider energy as an important factor for selecting routes. This causes earliest exhaustion of nodes and network in trouble. Here, a new approach for path selection strategy is introduced by using energy factor is known as energy aware ad-hoc on-demand multipath distance vector (EA-AOMDV) routing protocol. The proposed scheme attempts to solve the above-mentioned problems in the way of selecting energy aware nodes on the path. During the route selection process, the node is considered only when the node is having above the minimum energy threshold value. The proposed model is tested with the NS2 simulator and the result we obtained is significant.
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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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