On calculating connected dominating set for efficient routing in ad hoc wireless networks
DIALM '99 Proceedings of the 3rd international workshop on Discrete algorithms and methods for mobile computing and communications
An Extended Localized Algorithm for Connected Dominating Set Formation in Ad Hoc Wireless Networks
IEEE Transactions on Parallel and Distributed Systems
Energy efficient distributed connected dominating sets construction in wireless sensor networks
Proceedings of the 2006 international conference on Wireless communications and mobile computing
Research and Analysis of Topology Control in NS-2 for Ad-hoc Wireless Network
CISIS '08 Proceedings of the 2008 International Conference on Complex, Intelligent and Software Intensive Systems
Topology Control in Wireless Sensor Networks: with a companion simulation tool for teaching and research
An application-specific protocol architecture for wireless microsensor networks
IEEE Transactions on Wireless Communications
Poly: A reliable and energy efficient topology control protocol for wireless sensor networks
Computer Communications
Journal of Network and Computer Applications
ADHOC-NOW'11 Proceedings of the 10th international conference on Ad-hoc, mobile, and wireless networks
Journal of Network and Computer Applications
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Topology Control is a well-known technique for saving energy in wireless sensor networks. Despite the fact that topology control algorithms and protocols have been extensively studied, they are currently unavailable in most, if not all, simulation tools. In this work we introduce Atarraya, a discrete-event simulation tool specifically designed for testing and implementing topology control protocols for wireless sensor networks. The simulation tool includes structures for designing both topology construction and topology maintenance protocols. In addition, Atarraya includes several key algorithms and applications that along with its graphical user interface can be used to support teaching activities. The correctness of the tool is validated using well-known results available in the literature.