الفهرس 
Wireless Sensor Network and the Internet of ThingsOnly 14 pages are availabe for public view
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Abstract
Internet of Things (IoT) is an important technique in the modern wireless telecommunications field. It is based on a collection of sensor nodes (SNs) connected through wireless sensor networks (WSNs).The lifetime of this network is affected by the battery power of the connected SNs. Therefore, the development of energy-efficient schemes for the IoT is a challenging issue.Network clustering techniques are used to improve energy-efficient and extend the lifetime of the WSNs. Recently; clustering-based meta-heuristic algorithms are used to solve this problem under certain considerations such as less energy consumption and high reliability. This thesis proposesa new clustering algorithm based on a coyote optimization algorithm(COA) for a data clustering problem.Secondly, proposes a new scheme for heterogeneous WSNs using the COA algorithm based on a fuzzy logic (COFL) algorithm. It uses the COA in conjunction with fuzzy logic (FL) system to reinforce and balance the clustering process for increasing the wireless network lifetime and reducing energy consumption. An extensive simulation with three different scenarios is performed. The performance of the proposed COFL algorithm is compared with the well-known algorithms. The COFL algorithm outperforms other algorithms in terms of alive nodes analysis, energy consumption, throughput, and central tendency measurements for alive nodes and normalized energy.