Abstract
The Routing of data packets in a wireless sensor network (WSN) is affected by a variety of physical factors including poor node-link quality, insufficient buffer capacity, and insufficient energy levels. These factors, lead to failures in data packet delivery, as a consequence of which packets need to be retransmitted. Thus, a higher frequency of retransmissions makes the system unstable by consuming more energy and causing more delays in packet delivery. To avoid the aforementioned routing challenges, this paper implements the concept of fuzzy logic, taking into consideration five major factors namely, residual energy, degree of closeness to shortest path, degree of closeness to sink node, buffer capacity, and trust degree. In this proposed system, the foremost aim is to choose the optimal forwarder node which is predicted with low energy consumption, high stability, low retransmission rate, and low average transmission delay. The experimental results show that the proposed algorithm shows better performance than some existing similar algorithms in terms of minimizing the average delay in packet delivery, network energy consumption, and frequency of retransmissions.
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Stephan, T., Punitha, S., Shankar, A., Chilamkurti, N. (2022). FLER: Fuzzy Logic-Based Energy Efficient Routing for Wireless Sensor Networks. In: Nicopolitidis, P., Misra, S., Yang, L.T., Zeigler, B., Ning, Z. (eds) Advances in Computing, Informatics, Networking and Cybersecurity. Lecture Notes in Networks and Systems, vol 289. Springer, Cham. https://doi.org/10.1007/978-3-030-87049-2_11
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