Improved Many-Objective Optimization Algorithms for the 3D Indoor Deployment Problem

• Published in: Arabian Journal for Science and Engineering Vol. 44; no. 4; pp. 3883 - 3904
• Main Authors: Mnasri, Sami, Nasri, Nejah, van den Bossche, Adrien, Val, Thierry
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.04.2019; Springer Nature B.V; King Fahd University of Petroleum and Minerals SAUDI ARABIA - Springer (en ligne)
• Subjects: Algorithms; Computer Science; Engineering; Evolutionary algorithms; Humanities and Social Sciences; Mathematical models; multidisciplinary; Multiple objective analysis; Mutation; Networking and Internet Architecture; Nodes; Optimization; Remote sensors; Research Article - Computer Engineering and Computer Science; Science; Sensors; Wireless sensor networks; 3D indoor deployment; Experimental validation; Many-objective optimization; Adaptive operators; Neighbourhood

Compared with the two-dimensional deployment, the three-dimensional deployment of sensor networks is more challenging. We studied the problem of 3D repositioning of sensor nodes in wireless sensor networks. We aim essentially to add a set of nodes to the initial architecture. The positions of the ad...