Mobile Multiple Sink Path Planning for Large-Scale Sensor Networks Based on Hyper-Heuristic Artificial Bee Colony Algorithm

Author:

Qian Lanmei1,Zhang Haifei1,Qiu Jianlin1,Zhang Xudong2,Fouad Hassan3,Altameem Torki4

Affiliation:

1. School of Computer and Information Engineering, Nantong Institute of Technology, Jiangsu Province, Nantong, 226002, China

2. School of Electrical Engineering, Nantong University, Nantong, Nantong City, Jiangsu Province, 226019, China

3. Biomedical Engineering Department Faculty of Engineering, Helwan University, Helwan, 77436, Egypt

4. Computer Science Department, Community College, King Saud University, 11451, 95, Riyadh, 11362, Saudi Arabia

Abstract

Large-scale wireless sensor networks consists a terrific amount of nodes, a wide range of deployment, extended data transmission time, and large network energy consumption. To solve the above problems, a mobile multiple Sink path planning based on hyper-heuristic artificial bee colony algorithm is proposed. The artificial bee colony algorithm is used as the high-level strategy. In view of the changes in the network operation process, namely the number of nodes and energy changes, the design of three stages of the artificial bee colony algorithm is used to choose and manipulate the low-level heuristic operator. The selected lower layer operator set plans the path of each mobile sink nodes. Compared with other famous meta-heuristic algorithms, it is proved that the proposed hyper-heuristic algorithm is an effective, efficient and robust algorithm, which can effectively solve the path planning problem in view of multiple sink nodes, reduce network delay and reduce network energy consumption.

Publisher

American Scientific Publishers

Subject

Electrical and Electronic Engineering,Electronic, Optical and Magnetic Materials

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