Evaluation of Dynamic Channel and Power Assignment for Cognitive Networks

Deaton, Juan D.; Ahmad, Syed Amaar; Shukla, Umesh; Irwin, Ryan E.; DaSilva, Luiz A.; MacKenzie, Allen B.

doi:10.1007/s11277-010-0053-1

Cited by 3 publications

(4 citation statements)

References 9 publications

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“…There are several studies based on game theory that model CN resources, from an overview presented in 2010 by [13] to models of channel selection [14], power allocation [15], or the mixture of both [16].…”

Section: Related Workmentioning

confidence: 99%

A Game Theory Based Strategy for Reducing Energy Consumption in Cognitive WSN

Romero

Blesa

Araújo

et al. 2014

International Journal of Distributed Sensor Networks

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Wireless sensor networks (WSNs) are one of the most important users of wireless communication technologies in the coming years and some challenges in this area must be addressed for their complete development. Energy consumption and spectrum availability are two of the most severe constraints of WSNs due to their intrinsic nature. The introduction of cognitive capabilities into these networks has arisen to face the issue of spectrum scarcity but could be used to face energy challenges too due to their new range of communication possibilities. In this paper a new strategy based on game theory for cognitive WSNs is discussed. The presented strategy improves energy consumption by taking advantage of the new change-communication-channel capability. Based on game theory, the strategy decides when to change the transmission channel depending on the behavior of the rest of the network nodes. The strategy presented is lightweight but still has higher energy saving rates as compared to noncognitive networks and even to other strategies based on scheduled spectrum sensing. Simulations are presented for several scenarios that demonstrate energy saving rates of around 65% as compared to WSNs without cognitive techniques.

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Section: Related Workmentioning

confidence: 99%

A Game Theory Based Strategy for Reducing Energy Consumption in Cognitive WSN

Romero

Blesa

Araújo

et al. 2014

International Journal of Distributed Sensor Networks

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“…On the other extreme, when α = 0 resource allocation is completely TD as is proposed in [1,3,4,8,9] and the TI stage is bypassed. The flow rate with α = 0 represents the optimal flow rate since all resources are allocated in response to traffic conditions, so this extreme bounds all other solutions with α > 0, including our TA scheme.…”

Section: Connectivity-maximized (Cm) Ti Stagementioning

confidence: 99%

“…By contrast, there are other proposals in the research literature that address the resource allocation problem from a traffic-driven perspective, with the assumption of a zero-cost control plane enabling network connectivity. These include [1,3,4,8,9], which propose purely TD allocation schemes.…”

Section: Introductionmentioning

confidence: 99%

Traffic-Aware Channel Assignment for Multi-radio Wireless Networks

2012

Self Cite

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Abstract. This paper studies channel assignment in multi-hop wireless networks in which nodes are equipped with multiple radios, each of which can be assigned to a channel. We argue for an approach that first assigns channels independently of traffic, to achieve basic connectivity and support light loads such as control traffic, and then dynamically assigns channels to the remaining radios in response to traffic demand. The objective is to balance the need for a stable baseline topology and the desire to maximize throughput by dynamically adapting the topology to current network conditions. We call this a traffic-aware (TA) approach, in contrast to both traffic-independent (TI) and traffic-driven (TD) channel assignment and topology control schemes found in the literature. We formulate the problem as a two-stage mixed integer linear program (MILP), and find that our approach supports good connectivity and data rates comparable to those achieved with a TD channel assignment, while achieving lower resource utilization than TI approaches. We also quantify the tradeoffs involved in the decision of what proportion of radios to enable during the traffic-independent stage and what proportion to enable dynamically in response to changing traffic demands.

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“…If multiple secondary operators or devices seek to simultaneously use common spectra, efficient channel assignment will be important for maximizing channel reuse. A comparison of different channel assignment techniques for DSA has been examined in [7].…”

Section: Spectrum Access Rulesmentioning

confidence: 99%

Decision Analysis of Dynamic Spectrum Access Rules

Deaton

Wernz

DaSilva

2011

2011 IEEE Global Telecommunications Conference - GLOBECOM 2011

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Abstract-A current trend in spectrum regulation is to incorporate spectrum sharing through the design of spectrum access rules that support Dynamic Spectrum Access (DSA). This paper develops a decision-theoretic framework for regulators to assess the impacts of different spectrum access rules on both primary and secondary operators. We analyze access rules based on sensing and exclusion areas, which in practice can be enforced through geolocation databases. Our results show that receiver-only sensing provides insufficient protection for primary and co-existing secondary users and overall low social welfare. On the other hand, using combining sensing information of the transmitter and receiver of a communication link provides dramatic increases in system performance. The performance of using these link end points is relatively close to that of using many cooperative sensing nodes associated to the same access point and large link exclusion areas. These results are useful to regulators and network developers in understanding in developing rules for future DSA regulation.

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Evaluation of Dynamic Channel and Power Assignment for Cognitive Networks

Cited by 3 publications

References 9 publications

A Game Theory Based Strategy for Reducing Energy Consumption in Cognitive WSN

A Game Theory Based Strategy for Reducing Energy Consumption in Cognitive WSN

Traffic-Aware Channel Assignment for Multi-radio Wireless Networks

Decision Analysis of Dynamic Spectrum Access Rules

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