relation: https://khub.utp.edu.my/scholars/20438/
title: Interference-aware Wireless Internet of Things Gateway Placement Scheme
creator: Kong, Zanwai
creator: Tan, Teik Boon
creator: Ooi, Boonyaik Yaik
creator: Liew, Soung Yue
description: IoT gateways are deployed among the sensor networks with huge number of nodes to facilitate manageability and deployment cost of IoT system. Efficient gateway placement can establish a mesh network between gateways to achieve fault-tolerance, load balancing and further reduce deployment and operational cost. However, existing gateway placement schemes do not take wireless interference between gateways into account, which may cause great performance impact to wireless network traffic and thus affect overall throughput. This work proposed an interference-aware IoT gateway placement scheme which take network interference, fault-tolerance and deployment cost into account. We have proposed to implement the scheme using a metaheuristic approach - Genetic Algorithm. In order to adapt gateway placement problem to be solved by genetic algorithm, the constraints are required to be further formulated and modeled. The main contribution of this work is to fabricate the mentioned model and consequently assess its performance against existing solutions from different aspect. The results are promising. © 2021 IEEE.
publisher: Institute of Electrical and Electronics Engineers Inc.
date: 2021
type: Conference or Workshop Item
type: PeerReviewed
identifier:   Kong, Zanwai and Tan, Teik Boon and Ooi, Boonyaik Yaik and Liew, Soung Yue  (2021) Interference-aware Wireless Internet of Things Gateway Placement Scheme.  In: UNSPECIFIED.     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112409937&doi=10.1109%2FICCOINS49721.2021.9497205&partnerID=40&md5=b236cd7ac5be1b116457bb7e5f5040e0
relation: 10.1109/ICCOINS49721.2021.9497205
identifier: 10.1109/ICCOINS49721.2021.9497205