PEAS: A Robust Energy Conserving Protocol for Long-lived Sensor Networks
ICDCS '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
Simulating Large Wireless Sensor Networks Using Cellular Automata
ANSS '05 Proceedings of the 38th annual Symposium on Simulation
Information and Self-Organization: A Macroscopic Approach to Complex Systems (Springer Series in Synergetics)
Energy usage in biomimetic models for massively-deployed sensor networks
ISPA'05 Proceedings of the 2005 international conference on Parallel and Distributed Processing and Applications
Biology-Inspired distributed consensus in massively-deployed sensor networks
ADHOC-NOW'05 Proceedings of the 4th international conference on Ad-Hoc, Mobile, and Wireless Networks
Data-centered scheduling for addressing performance metrics on WSN
EvoApplications'11 Proceedings of the 2011 international conference on Applications of evolutionary computation - Volume Part II
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Large scale wireless sensor networks present interesting challenges in many applications due to a number of factors, such as, energy constraints, the dynamic nature of the network topology and various application needs. An important issue is how the sensor nodes can achieve efficient global behavior under distributed control mechanisms? One of many possible solutions is to construct a self-organized wireless sensor network to deal with this challenge. This paper presents an algorithm to construct a self-organized wireless sensor network based on two dimensional cellular automata that can provide better understanding for how local behavior at node level influences the overall system behavior and affect the system performance. Two types of Cellular Automata (CA) are considered; for the synchronous CA based system; the regular patterns are identified and discussed. To overcome some limitations arising from the use of a synchronous CA implementation an asynchronous CA is employed.