The K-Neigh Protocol for Symmetric Topology Control in Ad Hoc Networks
Proceedings of the 4th ACM international symposium on Mobile ad hoc networking & computing
A Simulation-Based Study on the Throughput Capacity of Topology Control in CSMA/CA Networks
PERCOMW '06 Proceedings of the 4th annual IEEE international conference on Pervasive Computing and Communications Workshops
Localized topology control algorithms for heterogeneous wireless networks
IEEE/ACM Transactions on Networking (TON)
Wireless sensor network survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
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
An energy framework for the network simulator 3 (NS-3)
Proceedings of the 4th International ICST Conference on Simulation Tools and Techniques
Design and analysis of an MST-based topology control algorithm
IEEE Transactions on Wireless Communications
Efficient topology control scheme for wireless ad-hoc networks
International Journal of Computational Intelligence Studies
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Topology control aims at optimizing throughput and energy consumption of wireless networks by adjusting transmission powers or by restricting the communication to a well-chosen subset of communication links. Over the years, a variety of topology control algorithms have been proposed. However, many of these algorithms have been mainly studied from a theoretical point of view. On the other hand, existing simulation-based studies often only compare few approaches based on rather simple simulations, e.g., abstracting from communication protocols. In this paper, we present a thorough study of a variety of topology control algorithms based on the methodology of algorithm engineering. To analyze achievable performance improvements for communication according to the IEEE 802.11g standard we use the ns-3 network simulator. In addition to analyzing the communication throughput, we also study the effects of topology control on the energy demand in the network. Based on our simulation results, we then identify properties of the computed topologies that are essential for the achieved improvements. The gained insights are finally used to motivate an extension of the well-known XTC algorithm, which enables significant performance improvements in the considered application scenario.