What is it about?
WSNs are characterized by limited energy constraints. This characteristic poses a considerable challenge to the design of routing protocols. Therefore, many designers and researchers focus on architectures and algorithms that allow energy-efficient operation of WSNs. One of the popular algorithms in this regard is clustering algorithm. Thus, there are many routing protocols based on clustering algorithm has been proposed for WSNs, the functionality of these protocols is divided into cluster heads (CHs) selection and cluster formation. However, CHs selection is one of the very important problems in routing protocols applications and can drastically impact the network lifespan thereby energy conservation task for WSNs. In this paper, we propose a new routing approach called Energy-efficient fuzzy logic cluster head (EEFL-CH); it is an improvement of LEACH protocol.
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Why is it important?
In this paper, we have proposed a new approach using fuzzy logic for WSNs, namely EEFL-CH. The goal of this proposed approach is to extend the network lifetime and reduce energy consumption in WSNs. to accomplish this objective of our proposed approach; we have concentrated on CHs selection process. EEFL-CH approach selects the CHs taking into account the residual energy, the expected efficiency, and the closeness to BS of the nodes. From the simulation results, we conclude that the proposed EEFL-CH is more energy efficient and is more effective in maximizing the network lifetime of the whole network and also achieves better performance in this respect compared to LEACH and LEACH-ERE protocols.
Perspectives
In this paper, the proposed EEFL-CH algorithm considered the residual energy, the expected efficiency and the closeness to BS of the nodes to select CHs. Because there are many factors that can impact the network lifetime of WSNs such as clusters formation. A further direction of this work will be to combine the proposed EEFL-CH with one of the fuzzy logic based approaches for CHs selection, to extend the network lifetime and decrease the overall energy consumption.
Hassan ALAMI
INPT, Rabat, Morocco
Read the Original
This page is a summary of: Energy-efficient fuzzy logic cluster head selection in wireless sensor networks, March 2016, Institute of Electrical & Electronics Engineers (IEEE),
DOI: 10.1109/it4od.2016.7479300.
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