Enhanced Technique For Maximizing Wireless Sensor Networks Lifetime Based On Utilizing The Phenomena Of Overlapping Nodes And Data Transmission Mohammed

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dc.contributor.authorAbdel Lateif Al-Shalabi
dc.date.accessioned2020-11-30T02:55:49Z
dc.date.available2020-11-30T02:55:49Z
dc.date.issued2018-09
dc.description.abstractWireless Sensor Networks (WSNs) have attracted the attention of the researchers in the last few decades due to their involvement in many applications such as monitoring environment, fire tracking, and health care monitoring. In WSN, sensor nodes are deployed on the target area to sense the required events. The deployment of nodes can be formal (in specific locations) or random (in random locations). In the WSN that uses the random deployment of nodes, one of the common problems, when the sensors are close to each other, is the overlapping between them. This overlapping causes sensing approximately the same data by different nodes and also the transmission of duplicate data to the Cluster Head (CH), which leads to more energy consumption. Another problem in WSNs is the direct transmission of data from a CH to the Base Station (BS), which also negatively influences the overall network lifetime. Moreover, the random selection of the CHs leads to select nodes with low energy to be CHs which reduces the network lifetime. This thesis intends to solve the overlapping between nodes and the direct data transmission using different mechanisms. In this thesis, a mechanism is proposed to prolong the network lifetime by reducing the negative effect of the overlapping problem and utilizing the overlapping nodes to maximize the efficiency of the network in terms of network lifetime and energy consumption. This mechanism considers the distance between nodes in an efficient way in order to identify the overlapping between them based on the nature of the application with considering the blind area of the overlapping nodes. Moreover, the alternating sensing process should be applied on the overlapping nodes in an efficient way to maximize their lifetime. In addition, the critical cases such as the overlapping among more than two nodes and the dealing with the overlapping nodes when one of them dies are to be taken into consideration. Other mechanisms are proposed to prolong the network lifetime by solving the problem of the direct data transmission from the CHs to the BS, and by solving the randomness in the CHs selection. These mechanisms adapt the Genetic Algorithm (GA) as an optimization technique to find the optimal multi-hop path from a source CH to the BS. A pre-processing technique is implemented to enhance the GA and to increase the efficiency of it. Furthermore, suitable parameters are proposed to formulate the fitness function. These processes maximize the network lifetime by reducing the consumed power in the CHs. The experimental results using the simulated data show that the proposed technique improves the overall performance of a network in terms of the network lifetime by increasing the number of rounds by approximately 2709 rounds in average (with approximately 180.3%) compared to several related protocols, and in terms of the number of transmitted packets to the BS by increasing the total number of these packets by approximately 6821 packets in average (with approximately 77.5%) compared to several related protocols.en_US
dc.identifier.urihttp://hdl.handle.net/123456789/10744
dc.language.isoenen_US
dc.publisherUniversiti Sains Malaysiaen_US
dc.subjectComputer Scienceen_US
dc.titleEnhanced Technique For Maximizing Wireless Sensor Networks Lifetime Based On Utilizing The Phenomena Of Overlapping Nodes And Data Transmission Mohammeden_US
dc.typeThesisen_US
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