Battery Recharging Time-Based Routing for Power Constrained IoT Networks

Rawan Derbas, Lina Bariah, S. Muhaidat, P. Sofotasios, H. Saleh, E. Damiani
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引用次数: 1

Abstract

In this paper, we propose a new routing algorithm for the Internet-of-Things (IoT) networks. Our proposed routing algorithm considers multi-channel fading conditions and the battery recharging time (BRT) to enhance the overall network throughput. Our proposed scheme consists of three stages: path discovery, channel assignment and path selection. First, the channel assignment is formulated as an optimization problem, which is then formulated as a binary linear programming (BLP) problem. Consequently, the formulated problem can be solved in polynomial-time (PT) using linear programming (LP) techniques. To show the effectiveness of the proposed algorithm, we compared its performance with That of the minimum hop (MH) algorithm. The presented simulation results show the performance superiority of the proposed algorithm, compared to the MH algorithm.
基于电池充电时间的功率受限物联网路由
本文提出了一种新的物联网(IoT)网络路由算法。我们提出的路由算法考虑了多信道衰落条件和电池充电时间(BRT),以提高整个网络的吞吐量。我们提出的方案包括三个阶段:路径发现、信道分配和路径选择。首先,将信道分配表述为优化问题,然后将其表述为二进制线性规划(BLP)问题。因此,可以使用线性规划(LP)技术在多项式时间(PT)中求解所表述的问题。为了证明该算法的有效性,我们将其与最小跳数(MH)算法的性能进行了比较。仿真结果表明,与MH算法相比,该算法具有较好的性能优势。
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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