Reducing the Wireless Sensor Networks' Delay by Reducing Program’s Complexity and by Using Parallel Processing Mechanism
AbstractWireless Sensor Networks have received a big interest of the most researchers in the last years. This is due to the importance of these networks in all fields such as medical field, military field, economic field, etc. In addition, sensors can be used in all locations even in places that we cannot reach due to their ease of distribution in the research area and their low cost compared to other networks. However, the limited energy sources that the sensors carry reduce the life of the network and thus limit its use in some sensitive areas. Therefore, to reduce sensor nodes energy consumption and extend the life of wireless sensor networks mobile cluster head has been used (Loubna & Nour, 2021), while the cluster head in LEACH protocol was immobile. The energy consumption of wireless sensor nodes was clearly decreased in comparison of LEACH protocol. But when the wireless sensor network is dense (the cluster size is large and the number of sensors in each cluster is large), the moving cluster head maybe runs out of energy before ending the specific period and it's probably to end the specific period before collecting the data from all nodes in the clusters (Purohit & Keswani, 2015). Thus, to solve this problem, this paper discusses the use of parallel processing by assigning two cluster heads in order to increase the efficiency and to reduce the delay by reducing the complexity of parallel processing technique.
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