Versatile low power media access for wireless sensor networks
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
HEED: A Hybrid, Energy-Efficient, Distributed Clustering Approach for Ad Hoc Sensor Networks
IEEE Transactions on Mobile Computing
Balance-Based Energy-Efficient Communication Protocols forWireless Sensor Networks
ICDCSW '06 Proceedings of the 26th IEEE International ConferenceWorkshops on Distributed Computing Systems
PEACH: Power-efficient and adaptive clustering hierarchy protocol for wireless sensor networks
Computer Communications
Efficient Load-Balanced Clustering Algorithms for wireless sensor networks
Computer Communications
EEHC: Energy efficient heterogeneous clustered scheme for wireless sensor networks
Computer Communications
A distributed energy-efficient clustering protocol for wireless sensor networks
Computers and Electrical Engineering
Computer Networks: The International Journal of Computer and Telecommunications Networking
Information Sciences: an International Journal
Computer Networks: The International Journal of Computer and Telecommunications Networking
A memetic algorithm for extending wireless sensor network lifetime
Information Sciences: an International Journal
Adaptive decentralized re-clustering protocol for wireless sensor networks
Journal of Computer and System Sciences
Learning automata-based algorithms for solving stochastic minimum spanning tree problem
Applied Soft Computing
A cellular learning automata-based deployment strategy for mobile wireless sensor networks
Journal of Parallel and Distributed Computing
Computer Networks: The International Journal of Computer and Telecommunications Networking
Arranging cluster sizes and transmission ranges for wireless sensor networks
Information Sciences: an International Journal
Future Generation Computer Systems
An application-specific protocol architecture for wireless microsensor networks
IEEE Transactions on Wireless Communications
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Energy efficient ant colony algorithms for data aggregation in wireless sensor networks
Journal of Computer and System Sciences
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Wireless Sensor Networks (WSNs) are a special type of networks deployed in different geographical regions for capturing the important information. WSNs consist of low energy devices called Sensor Nodes (SNs) which are capable of sensing and transferring the gathered information to remote controller called as Base Stations (BSs). Because these devices are generally deployed in unattended environment and are limited in communication and computing power, so it is not always possible to recharge or replace the batteries for these devices. The SNs are supposed to have self healing and built in intelligence to operate independently. Keeping view of the above, in this paper, we propose a new Efficient Learning Automata based Cell Clustering Algorithm (ELACCA) for WSNs. Compared to the earlier approaches, we have taken size of the cell of the area under investigation in rhombus shape rather than the square. The selection of cluster head (CH) is performed by different levels using the participation ratio of the nodes in respective CH. Using the defined participation ratio, a cut off on number of nodes in a particular CH is also computed. Moreover, by varying the angle from base of the cell to its sides, the numbers of CHs formed are also calculated. Using these values, the communication among different CHs is maintained. The performance of the proposed scheme is validated using the extensive simulation with respect to various parameters such as connectivity, coverage and packet delivery ratio. The results obtained show that the proposed scheme is better than the existing schemes with respect to these metrics.