Optimal Placement for Smart Mobile Access Points

A4 Conference proceedings


Internal Authors/Editors


Publication Details

List of Authors: Amin Majd, Elena Troubitsyna, Masoud Daneshtalab
Publication year: 2018
Publisher: IEEE
Book title: 2018 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/UIC/ATC/SCALCOM/CBDCom/IOP/SC
Start page: 1659
End page: 1667
ISBN: 978-1-5386-9380-3


Abstract

Recently Smart Mobile Access Point (SMAP) based architectures have emerged as a promising solution for creating smart solutions supporting monitoring of special phenomena. SMAP allow us to predict communication activities in a system using the information collected from the network, and select the best approach to support the network at any given time. To improve the network performance, SMAPs can autonomously change their positions. They communicate with each other and carry out distributed computing tasks, constituting a mobile fog-computing platform. However, the communication cost becomes a critical factor. In this paper, we propose a compound method to select the best near-optimal placement of SMAPs with the goal to maximize the monitoring coverage and to minimize the communication cost. Our approach combines a parallel implementation of the Imperialist Competitive Algorithm (ICA) with Kruskal’s Algorithm


Last updated on 2019-17-10 at 03:05