The performance of query control schemes for the zone routing protocol
IEEE/ACM Transactions on Networking (TON)
On the minimum node degree and connectivity of a wireless multihop network
Proceedings of the 3rd ACM international symposium on Mobile ad hoc networking & computing
End-to-end packet-scheduling in wireless ad-hoc networks
SODA '04 Proceedings of the fifteenth annual ACM-SIAM symposium on Discrete algorithms
Does topology control reduce interference?
Proceedings of the 5th ACM international symposium on Mobile ad hoc networking and computing
Reducing interference in ad hoc networks through topology control
DIALM-POMC '05 Proceedings of the 2005 joint workshop on Foundations of mobile computing
Topology control in wireless ad hoc and sensor networks
ACM Computing Surveys (CSUR)
Equilibria in topology control games for ad hoc networks
Mobile Networks and Applications
The k-Neighbors Approach to Interference Bounded and Symmetric Topology Control in Ad Hoc Networks
IEEE Transactions on Mobile Computing
A framework for incentive compatible topology control in non-cooperative wireless multi-hop networks
DIWANS '06 Proceedings of the 2006 workshop on Dependability issues in wireless ad hoc networks and sensor networks
Effect of Selfish Node Behavior on Efficient Topology Design
IEEE Transactions on Mobile Computing
Design and analysis of an MST-based topology control algorithm
IEEE Transactions on Wireless Communications
The capacity of wireless networks
IEEE Transactions on Information Theory
Cognitive networks: adaptation and learning to achieve end-to-end performance objectives
IEEE Communications Magazine
Full length article: Minority game for cognitive radios: Cooperating without cooperation
Physical Communication
Determining the optimal configuration for the zone routing protocol
IEEE Journal on Selected Areas in Communications
Energy-efficient topology control in wireless ad hoc networks with selfish nodes
Computer Networks: The International Journal of Computer and Telecommunications Networking
Neighbor Selection Game in Wireless Ad Hoc Networks
Wireless Personal Communications: An International Journal
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In a cognitive network, autonomous and adaptive radios select their operating parameters to achieve individual and network-wide goals. The effectiveness of these adaptations depends on the amount of knowledge about the state of the network that is available to the radios. We examine the price of ignorance in topology control in a cognitive network with power- and spectral-efficiency objectives. We propose distributed algorithms that, if radios possess global knowledge, minimize both the maximum transmit power and the spectral footprint of the network. We show that while local (as opposed to global) knowledge has little effect on the maximum transmission power used by the network, it has a significant effect on the spectral performance. Furthermore, we show that due to the high cost of maintaining network knowledge for highly dynamic networks, the cost/performance tradeoff makes it advantageous for radios to operate under some degree of local knowledge, rather than global knowledge. We also propose distributed algorithms for power and frequency adaptations as radios join or leave the network, and assess how partial knowledge impacts the performance of these adaptations.