Abstract—The current development within the communication field lead to continuous and urgent needs for new data transfer techniques that can perform the communication process in a more reliable and secure manner. WSN emerged recently as a common and significant type of network which can be used within the environment that cannot be continuously managed by the human being. To enhance WSN performance in terms of several criteria, including; lifetime and energy, then several procedures can be employed, such as; clustering. KSOM emerged as a common technique for clustering in WSN. The aim of this paper is to evaluate the WSN performance in terms of average lifetime and consumed energy after adding Kohenon function of the neural network. Results show that the performance of the lifetime increased by 9.1% compared to LEACH protocol, while the energy consumed decreased by 3.03%.

Index Terms—Wireless Sensor Networks (WSNs); Kohenon Self Organizing Mapping (KSOM); Cluster Head (CH); Artificial Neural Networks (ANNs).

Cite: Rana Ahmed Alhashemi and Abdelrahman Almomani, "Performance Analysis of KSOM-LEACH over WSN," Journal of Communications, vol. 14, no. 9, pp. 845-852, 2019. Doi: 10.12720/jcm.14.9.845-852.