Open Access
ARTICLE
Nature Inspired Improved Firefly Algorithm for Node Clustering in WSNs
V. Manikandan1, *, M. Sivaram1, Amin Salih Mohammed2, V. Porkodi3
1 Department of Computer Networking, College of Engineering and Computer Science, Lebanese French
University, Erbil, 44001, Iraq.
2 College of Engineering and Computer Science, Lebanese French University, Erbil, 44001, Iraq.
3 Department of Information Technology, College of Engineering and Computer Science, Lebanese French
University, Erbil, 44001, Iraq.
* Corresponding Authors: V. Manikandan. Email: ; .
Computers, Materials & Continua 2020, 64(2), 753-776. https://doi.org/10.32604/cmc.2020.010267
Received 21 February 2020; Accepted 11 April 2020; Issue published 10 June 2020
Abstract
Wireless Sensor Networks (WSNs) comprises low power devices that are
randomly distributed in a geographically isolated region. The energy consumption of nodes
is an essential factor to be considered. Therefore, an improved energy management
technique is designed in this investigation to reduce its consumption and to enhance the
network’s lifetime. This can be attained by balancing energy clusters using a meta-heuristic
Firefly algorithm model for network communication. This improved technique is based on
the cluster head selection technique with measurement of the tour length of fireflies. Time
Division Multiple Access (TDMA) scheduler is also improved with the
characteristics/behavior of fireflies and also executed. At last, the development approach
shows the progression of the network lifetime, the total number of selected Cluster Heads
(CH), the energy consumed by nodes, and the number of packets transmitted. This
approach is compared with Ad hoc On-Demand Distance Vector (AODV), Dynamic
Source Routing (DSR) and Low Energy Adaptive Clustering Hierarchy (LEAH) protocols.
Simulation is performed in MATLAB with the numerical outcomes showing the efficiency
of the proposed approach. The energy consumption of sensor nodes is reduced by about
50% and increases the lifetime of nodes by 78% more than AODV, DSR and LEACH
protocols. The parameters such as cluster formation, end to end delay, percentage of nodes
alive and packet delivery ratio, are also evaluated... The anticipated method shows better
trade-off in contrast to existing techniques.
Keywords
Cite This Article
V. Manikandan, M. Sivaram, A. Salih Mohammed and V. Porkodi, "Nature inspired improved firefly algorithm for node clustering in wsns,"
Computers, Materials & Continua, vol. 64, no.2, pp. 753–776, 2020. https://doi.org/10.32604/cmc.2020.010267
Citations