Moth Flame Optimization Algorithm Range-Based for Node Localization Challenge in Decentralized Wireless Sensor Network

被引:9
作者
Miloud, Mihoubi [1 ]
Abdellatif, Rahmoun [2 ]
Lorenz, Pascal [3 ]
机构
[1] Univ Djillali Liabes Sidi Bel Abbes, EEDIS Lab, Sidi Bel Abbes, Algeria
[2] Higher Sch Comp Sci, LabRI SBA Lab, Sidi Bel Abbes, Algeria
[3] Univ Haute Alsace, Mulhouse, France
关键词
Localization Error; Localization Time; Metaheuristic; Moth Flame Optimization Algorithm; Node Localization; Optimization; Wireless Sensor Network;
D O I
10.4018/IJDST.2019010106
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Recently developments in wireless sensor networks (WSNs) have raised numerous challenges, node localization is one of these issues. The main goal in of node localization is to find accurate position of sensors with low cost. Moreover, very few works in the literature addressed this issue. Recent approaches for localization issues rely on swarm intelligence techniques for optimization in a multidimensional space. In this article, we propose an algorithm for node localization, namely Moth Flame Optimization Algorithm (MFOA). Nodes are located using Euclidean distance, thus set as a fitness function in the optimization algorithm. Deploying this algorithm on a large WSN with hundreds of sensors shows pretty good performance in terms of node localization. Computer simulations show that MFOA converge rapidly to an optimal node position. Moreover, compared to other swarm intelligence techniques such as Bat algorithm (BAT), particle swarm optimization (PSO), Differential Evolution (DE) and Flower Pollination Algorithm (FPA), MFOA is shown to perform much better in node localization task.
引用
收藏
页码:82 / 109
页数:28
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