2023_Enhancing Wireless Sensor Network (Wsn) Energy Efficiency By Improving Traffic Patterns Oblivious, Sensor Sensing Range, And Leach Protocol
| Format: | General Document |
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| _version_ | 1860798150392938496 |
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| building | INTELEK Repository |
| collection | Online Access |
| collectionurl | https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection3 |
| copyright | Copyright©PWB2025 |
| country | Malaysia |
| date | 2023-10-03 |
| format | General Document |
| id | 16190 |
| institution | UniSZA |
| originalfilename | ENHANCING WIRELESS SENSOR NETWORK (WSN) ENERGY EFFICIENCY BY IMPROVING TRAFFIC PATTERNS OBLIVIOUS, SENSOR SENSING RANGE, AND LEACH PROTOCOL (PHD_2023).pdf |
| person | Almamoon Naife Soliman Alauthman |
| recordtype | oai_dc |
| resourceurl | https://intelek.unisza.edu.my/intelek/pages/view.php?ref=16190 |
| sourcemedia | Server storage Scanned document |
| spelling | 16190 https://intelek.unisza.edu.my/intelek/pages/view.php?ref=16190 https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection3 General Document Malaysia Library Staff (Top Management) Library Staff (Management) Library Staff (Support) Terengganu Faculty of Informatics & Computing English application/pdf 1.5 193 Server storage Scanned document Universiti Sultan Zainal Abidin UniSZA Private Access UNIVERSITI SULTAN ZAINAL ABIDIN SAMBox 2.4.24; modified using iTextSharp™ 5.5.10 ©2000-2016 iText Group NV (AGPL-version) Copyright©PWB2025 Wireless sensor networks Wireless Sensor Networks (WSN) ENHANCING WIRELESS SENSOR NETWORK (WSN) ENERGY EFFICIENCY BY IMPROVING TRAFFIC PATTERNS OBLIVIOUS, SENSOR SENSING RANGE, AND LEACH PROTOCOL (PHD_2023).pdf Almamoon Naife Soliman Alauthman 2023-10-03 2023_Enhancing Wireless Sensor Network (Wsn) Energy Efficiency By Improving Traffic Patterns Oblivious, Sensor Sensing Range, And Leach Protocol Wireless sensor networks (WSN) are used in many crucial applications such as remote monitoring, target tracking, health care, and industrial settings. The systems consume a lot of energy despite their reliance on small batteries for energy. Using energy efficiently can considerably increase the availability of sensor nodes. High efficiency of WSN can be achieved from three main approaches, namely: (1) a low rate of idle listening states; (2) an acceptable sensor sensing range; and (3) an efficient clustering approach. The objectives of this study are to: (1) improve the Traffic Pattern Oblivious (TPO) approach, (2) adapt the efficient sensor sensing range, and (3) improve the Low Energy Adaptive Clustering Hierarchy (LEACH) protocol. The first improvement, idle listening, an approach called Modified Traffic Pattern Oblivious (MTPO) is proposed. This approach reduces the energy dissipation of continuous data collection by reducing the number of idle listening states while increasing the throughput of WSN. In particular, the approach takes into account the energy consumption when some nodes serve as relays to forward packets to sinks. That is, it finds a proper structure for sending data to a sink node. The second improvement, an approach called Adaptive Sensor Sensing Range (ASSR) is proposed to achieve optimal target coverage in WSN with varying sensing ranges. In this approach, energy dissipation is reduced in stations where many sensors are sensing the same target. In addition to saving power, the sensors' sensing range can be adaptive to increase monitoring time. ASSR aims to find the appropriate sensing range for each sensor in order to cover all targets and extend the availability of WSN. Finally, when the third perspective is considered, an energy-efficient clustering approach for WSN, called EEC-A, is proposed by modifying the LEACH protocol. It reduces power dissipation and increases data throughput from the cluster head (CH) to the base station (BS), thus maximizing the availability of the WSN. Using the energy resident as a request, this approach chooses CH and finds the shortest path from CH to BS. The experiments for MTPO were conducted using Omnet++. The results indicate that it reduces energy consumption by up to 39.3% better than the original TPO approach. Meanwhile, by using NS-3 simulator, the results for ASSR show that this approach significantly increases the availability of the network by up to 20% in a small network, and around 8% in a large network, when compared with recent approach. Also, by using NS-3 simulator, the results for EEC-A approach shows that it is capable to reduce power dissipation by 5%, and increases throughput by 8%, when compared to recent published protocols. Further, these three approaches were combined and evaluated simultaneously using the NS3 simulator, where energy dissipation, throughput, and the time for the first sensor to die were considered simultaneously. The experimental results demonstrate that the proposed approaches are able to enhance WSN energy efficiency, which further prolongs the WSN lifetime, and throughput. Dissertations, Academic Energy Efficiency In WSN Traffic Pattern Optimization Thesis |
| spellingShingle | 2023_Enhancing Wireless Sensor Network (Wsn) Energy Efficiency By Improving Traffic Patterns Oblivious, Sensor Sensing Range, And Leach Protocol |
| state | Terengganu |
| subject | Wireless sensor networks Dissertations, Academic |
| summary | Wireless sensor networks (WSN) are used in many crucial applications such as remote monitoring, target tracking, health care, and industrial settings. The systems consume a lot of energy despite their reliance on small batteries for energy. Using energy efficiently can considerably increase the availability of sensor nodes. High efficiency of WSN can be achieved from three main approaches, namely: (1) a low rate of idle listening states; (2) an acceptable sensor sensing range; and (3) an efficient clustering approach. The objectives of this study are to: (1) improve the Traffic Pattern Oblivious (TPO) approach, (2) adapt the efficient sensor sensing range, and (3) improve the Low Energy Adaptive Clustering Hierarchy (LEACH) protocol. The first improvement, idle listening, an approach called Modified Traffic Pattern Oblivious (MTPO) is proposed. This approach reduces the energy dissipation of continuous data collection by reducing the number of idle listening states while increasing the throughput of WSN. In particular, the approach takes into account the energy consumption when some nodes serve as relays to forward packets to sinks. That is, it finds a proper structure for sending data to a sink node. The second improvement, an approach called Adaptive Sensor Sensing Range (ASSR) is proposed to achieve optimal target coverage in WSN with varying sensing ranges. In this approach, energy dissipation is reduced in stations where many sensors are sensing the same target. In addition to saving power, the sensors' sensing range can be adaptive to increase monitoring time. ASSR aims to find the appropriate sensing range for each sensor in order to cover all targets and extend the availability of WSN. Finally, when the third perspective is considered, an energy-efficient clustering approach for WSN, called EEC-A, is proposed by modifying the LEACH protocol. It reduces power dissipation and increases data throughput from the cluster head (CH) to the base station (BS), thus maximizing the availability of the WSN. Using the energy resident as a request, this approach chooses CH and finds the shortest path from CH to BS. The experiments for MTPO were conducted using Omnet++. The results indicate that it reduces energy consumption by up to 39.3% better than the original TPO approach. Meanwhile, by using NS-3 simulator, the results for ASSR show that this approach significantly increases the availability of the network by up to 20% in a small network, and around 8% in a large network, when compared with recent approach. Also, by using NS-3 simulator, the results for EEC-A approach shows that it is capable to reduce power dissipation by 5%, and increases throughput by 8%, when compared to recent published protocols. Further, these three approaches were combined and evaluated simultaneously using the NS3 simulator, where energy dissipation, throughput, and the time for the first sensor to die were considered simultaneously. The experimental results demonstrate that the proposed approaches are able to enhance WSN energy efficiency, which further prolongs the WSN lifetime, and throughput. |
| title | 2023_Enhancing Wireless Sensor Network (Wsn) Energy Efficiency By Improving Traffic Patterns Oblivious, Sensor Sensing Range, And Leach Protocol |
| title_full | 2023_Enhancing Wireless Sensor Network (Wsn) Energy Efficiency By Improving Traffic Patterns Oblivious, Sensor Sensing Range, And Leach Protocol |
| title_fullStr | 2023_Enhancing Wireless Sensor Network (Wsn) Energy Efficiency By Improving Traffic Patterns Oblivious, Sensor Sensing Range, And Leach Protocol |
| title_full_unstemmed | 2023_Enhancing Wireless Sensor Network (Wsn) Energy Efficiency By Improving Traffic Patterns Oblivious, Sensor Sensing Range, And Leach Protocol |
| title_short | 2023_Enhancing Wireless Sensor Network (Wsn) Energy Efficiency By Improving Traffic Patterns Oblivious, Sensor Sensing Range, And Leach Protocol |
| title_sort | 2023_enhancing wireless sensor network (wsn) energy efficiency by improving traffic patterns oblivious, sensor sensing range, and leach protocol |