relation: https://khub.utp.edu.my/scholars/17404/
title: A Framework for Enhancing Network Lifetime in Internet of Things Environment Using Clustering Formation
creator: Ghali, A.A.
creator: Ahmad, R.
creator: Alhussian, H.
description: Internet of Things (IoT) is one of the current technology that gains the highest acceptance from various industries and academia nowadays. The growth of this technology has streamlined the day-to-day activities of individuals. It can be stated that day-to-day activities in the industries without the aid of the IoT is becoming harder and harder due to the manual process. This study investigates the issues of energy consumption in the IoT environment due to denial of service (DoS) attack in the IoT environment. Besides, a solution that remedies the issues is proposed in this study. The contributions of this study are categorized into two aspects. Firstly, the study described the components of the IoT, which includes the sensor nodes. Secondly, the study emphasizes in improving the energy of the nodes to enhance the network lifetime in the IoT environment. To achieve the milestone the study was implemented using MATLAB, and thereby considering the enabling technology such as wireless sensor network (WSN) and the RFID in the perception layer of IoT. The results reveal that the network lifetime has improved significantly with about 6 improvements as compared with security-based modified LEACH (MS-LEACH). © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
publisher: Springer Science and Business Media Deutschland GmbH
date: 2022
type: Article
type: PeerReviewed
identifier:   Ghali, A.A. and Ahmad, R. and Alhussian, H.  (2022) A Framework for Enhancing Network Lifetime in Internet of Things Environment Using Clustering Formation.  Lecture Notes in Electrical Engineering, 758.  pp. 401-407.  ISSN 18761100     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85142698831&doi=10.1007%2f978-981-16-2183-3_39&partnerID=40&md5=3bb1c3404588db2d1733bb9039e605b2
relation: 10.1007/978-981-16-2183-3₃₉
identifier: 10.1007/978-981-16-2183-3₃₉