Mathematical models for mitigating energy holes in corona-based wireless sensor network

Also available in printed version

التفاصيل البيبلوغرافية
المؤلف الرئيسي: Hassan Asadollahi
مؤلفون آخرون: Shukor Abd. Razak, supervisor
التنسيق: Doctoral thesis
اللغة:الإنجليزية
منشور في: Universiti Teknologi Malaysia 2025
الموضوعات:
الوصول للمادة أونلاين:https://utmik.utm.my/handle/123456789/59904
Abstract Abstract here
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author Hassan Asadollahi
author2 Shukor Abd. Razak, supervisor
author_facet Shukor Abd. Razak, supervisor
Hassan Asadollahi
author_sort Hassan Asadollahi
description Also available in printed version
format Doctoral thesis
id utm-123456789-59904
institution Universiti Teknologi Malaysia
language English
publishDate 2025
publisher Universiti Teknologi Malaysia
record_format dspace
record_pdf Abstract
spelling utm-123456789-599042025-03-17T18:58:32Z Mathematical models for mitigating energy holes in corona-based wireless sensor network Hassan Asadollahi Shukor Abd. Razak, supervisor Computing Also available in printed version Wireless sensor network (WSN) nodes are usually battery-driven devices with limited power supply and the network lifetime has undoubtedly become a crucial issue. Normally, in WSNs, the data are sent to a base station or cluster heads through multi-hop routing. Under the condition of multiple hops, the sensor nodes closer to the base station or cluster heads tend to die faster because of the imbalance traffic among sensor nodes that consequently lead to an energy hole problem. For mitigating the problem, a mathematical formula to calculate the optimal number of coronas in both random uniform and non-uniform deployment nodes is proposed in circular networks also known as corona-based networks. To formulate it, the energy consumption was calculated for each corona. Besides that, a lemma and two propositions have been proven in this research. Based on this lemma, the critical corona can be identified. In addition, the two proposed propositions can determine the situation in which the interior corona is the one with the greatest energy hole. In addition, an energy-balanced method, Intermittent Varied Range (IVR) data transmission method is proposed to prolong the overall network lifetime and simulations showed that the second inner-most corona has the most positive effect. For IVR method, only two transmission ranges could increase the network lifetime. There would be an increase more than doubled for environment with path loss exponent of two. In this research, a new relay nodes deployment technique is also proposed to balance the energy consumption in the coronas. Using the proposed mathematical equations, the number of relay nodes for maximizing the lifetime of corona-based WSNs could be calculated zulaihi UTM 149 p. Thesis (Ph.D (Sains Komputer)) - Universiti Teknologi Malaysia, 2014 2025-03-17T06:19:50Z 2025-03-17T06:19:50Z 2014 Doctoral thesis https://utmik.utm.my/handle/123456789/59904 valet-20170423-124849 vital:98111 ENG Closed Access UTM Complete Unpublished application/pdf Universiti Teknologi Malaysia
spellingShingle Computing
Hassan Asadollahi
Mathematical models for mitigating energy holes in corona-based wireless sensor network
thesis_level PhD
title Mathematical models for mitigating energy holes in corona-based wireless sensor network
title_full Mathematical models for mitigating energy holes in corona-based wireless sensor network
title_fullStr Mathematical models for mitigating energy holes in corona-based wireless sensor network
title_full_unstemmed Mathematical models for mitigating energy holes in corona-based wireless sensor network
title_short Mathematical models for mitigating energy holes in corona-based wireless sensor network
title_sort mathematical models for mitigating energy holes in corona based wireless sensor network
topic Computing
url https://utmik.utm.my/handle/123456789/59904
work_keys_str_mv AT hassanasadollahi mathematicalmodelsformitigatingenergyholesincoronabasedwirelesssensornetwork