A Cluster-Head Election Technique for Data Aggregation in Wireless Sensor Networks, M.Sc. Thesis Sharif University of Technology ; Movaghar, Ali (Supervisor) ; Manzouri, Mohammad Taghi (Supervisor)
Abstract
Energy constraint is the most critical problem in wireless sensor networks (WSNs). To address this issue, clustering has been introduced as an efficient way for data aggregation and routing. However, there also exist some disadvantages associated with the clustering scheme, such as additional overheads during the cluster-head election and cluster formation process. Most available clustering algorithms do not efficiently take into consideration the geographical information of nodes in the cluster-head election. This leads to uneven distribution of cluster-heads and unbalanced cluster sizes, which brings about uneven energy dissipation in clusters. In this research, an Efficient Distributed...
Cataloging briefA Cluster-Head Election Technique for Data Aggregation in Wireless Sensor Networks, M.Sc. Thesis Sharif University of Technology ; Movaghar, Ali (Supervisor) ; Manzouri, Mohammad Taghi (Supervisor)
Abstract
Energy constraint is the most critical problem in wireless sensor networks (WSNs). To address this issue, clustering has been introduced as an efficient way for data aggregation and routing. However, there also exist some disadvantages associated with the clustering scheme, such as additional overheads during the cluster-head election and cluster formation process. Most available clustering algorithms do not efficiently take into consideration the geographical information of nodes in the cluster-head election. This leads to uneven distribution of cluster-heads and unbalanced cluster sizes, which brings about uneven energy dissipation in clusters. In this research, an Efficient Distributed...
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