Distance-based energy-efficient opportunistic forwarding in mobile delay tolerant networks

Yue Lu, Wei Wang, Lin Chen, Zhaoyang Zhang, Aiping Huang
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引用次数: 6

Abstract

Mobile relay-assisted forwarding can improve the network capacity, but meanwhile increase the energy consumption. In this paper, we propose two distance-based energy-efficient opportunistic forwarding (DEEOF) schemes in mobile delay tolerant networks (DTNs). The proposed schemes strike a balance between energy consumption and network performance by maximizing the energy efficiency while maintaining a high packet delivery ratio from two different angles. Specifically, in the developed algorithms, we introduce the forwarding equivalent energy-efficiency distance (FEED) to quantify the transmission distances achieving the same energy efficiency at different time instances. The expected energy efficiency can thus be estimated based on the FEED. Furthermore, the distribution of the greatest forwarding energy efficiency in the predicted period is investigated to provide more accurate prediction for the energy efficiency. The forwarding decision in the algorithms is made by comparing the current energy efficiency and the estimated future expectation. The performance improvement of the proposed algorithms is also demonstrated by simulation, especially for systems where the source has very limited battery reserves.
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移动容延迟网络中基于距离的节能机会转发
移动中继辅助转发可以提高网络容量,但同时也增加了能耗。在本文中,我们提出了两种基于距离的节能机会转发(DEEOF)方案。所提出的方案从两个不同的角度在能源效率最大化的同时保持较高的分组分发率,从而在能源消耗和网络性能之间取得平衡。具体而言,在开发的算法中,我们引入转发等效能效距离(FEED)来量化在不同时间实例下达到相同能效的传输距离。因此,预期的能源效率可以根据FEED来估计。进一步研究了预测期内最大转发能量效率的分布,为更准确地预测转发能量效率提供了依据。算法中的转发决策是通过比较当前的能源效率和估计的未来期望来做出的。通过仿真也证明了所提算法的性能改进,特别是对于源电池储量非常有限的系统。
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