Applications of the wireless sensor networks have widely increased in recent years. However, a lot of work has been developed to improve the performance of these wireless sensor networks. But, there are some main limitations till now due to complexity appeared for maximizing the lifetime, dealing with the noisy data, having a balance of the node loading, speeding up the transmission process of wireless sensor networks (WSNs). The present work proposes a new routing technique that has used the fuzzy modeling to overcome these drawbacks of WSNs. Proposed fuzzy technique seeks to determine the optimal route path from source to destination so that the energy consumption is balanced and minimized. The proposed fuzzy routing technique is applied for a WSN used in radiated products' system. Then, the suggested system is compared with Traditional Low-Energy Adaptive Clustering Hierarchy (LEACH) commonly used protocol for WSNs. The obtained results show significant increase in the performance of the WSNs. However, the proposed system has proved its well suitability for the real-time applications.
In the recent years, wireless sensor networks (WSNs), have become essential part in a huge number of the modern applications. Researchers have developed a lot of work to improve their performance. But, practically WSNs still face with different kinds of obstacles those cause main challenges for their reliability. Therefore, finding an optimum obstacleavoiding route path for the WSNs is considered an important research problem. The present work introduces a new optimum routing algorithm based on the cluster-based method for the WSNs with obstacles. The proposed system uses the cluster-based method and the mobile sink to decrease the power consumptions and increase the lifetime of the WSNs. Besides, it uses the genetic algorithm to optimize the avoiding-obstacles routing path. Suggested system has been applied for a WSN used to communicate between a discoveryradiation robot and its operating system as a case of study. Simulation results for the tested WSN and their comparison with three other route algorithms have proved the effectiveness of the proposed novel method.
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