Abstract
Stability of the wireless sensor network (WSN) is the most critical factor in real-time and data-sensitive applications like military and surveillance systems. Many energy optimization techniques and algorithms have been proposed to extend the stability of a wireless sensor network. Clustering is a well regarded method in the research communities among them. Hence, this paper presents hybrid hierarchical artificial intelligence based clustering techniques, named FLAG and I-FLAG. The first phase of these algorithms use game-theoretic technique to elect suitable cluster heads (CHs) and later phase of the algorithms use fuzzy inference system to select appropriate super cluster heads (SCHs) among CHs. The I-FLAG is an improved version of FLAG where additional parameters like energy and distance are considered to elect CHs. Simulations are performed to check superiority of the proposed algorithms over the existing protocols like LEACH, CHEF, and CROSS. Simulation results show that the average stability period of WSN is better in FLAG and I-FLAG compared to other protocols, and so is the throughput of WSN during the stability period.
Highlights
Related WorkMost famous clustering algorithm LEACH [6] ensures that every node plays the role of cluster head within a set time interval
Stability of the Wireless Sensor Net- algorithms over the existing protocols like LEACH, work(WSN) is the most critical factor in real- CHEF, and CROSS
The results show that the network stability period of FLAG is better than LEACH, CHEF, and CROSS
Summary
Most famous clustering algorithm LEACH [6] ensures that every node plays the role of cluster head within a set time interval. In [14], the authors proposed a fuzzy logic based distributed clustering algorithm This algorithm is designed by considering energy efficiency and coverage requirement of the network. In [30], the authors improved the work of [17] by proposing optimal LEACH clustering algorithm for electing right CH, and used the energy average of CHs as a additional fuzzy input member function to elect appropriate SCH.
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
