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

Romero, Elena; Blesa, Javier; Araújo, Álvaro; Nieto–Taladriz, Octavio

doi:10.1155/2014/965495

Cited by 10 publications

(4 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In order to test the performance of the proposed strategy, it is compared with a previous work presented in [29]. This previous strategy is also conceived to improve energy consumption and is also based on game theory.…”

Section: Resultsmentioning

confidence: 99%

Energy Efficiency Strategy in D2D Cognitive Networks Using Channel Selection Based on Game Theory and Collaboration

Romero

Blesa

Rozas

et al. 2016

International Journal of Distributed Sensor Networks

Self Cite

View full text Add to dashboard Cite

The growth of Device-to-Device (D2D) communications and the extensive use of Wireless Sensor Networks (WSNs) bring new problems such as spectral coexistence and spectrum saturation. Cognitive Radio (CR) appears as a paradigm to solve these problems. The introduction of CR into WSNs as a solution to the spectrum utilization problem could be used not only to increase the reliability of communications, but also to optimize energy consumption. The contribution of this paper is a cognitive lightweight strategy based on game theory and collaboration proposed to save energy consumption in Cognitive Wireless Sensor Networks (CWSNs). The proposed strategy takes advantage of the two main capabilities of CWSNs, the ability to adapt communication parameters, specifically channel allocation, and collaboration among devices. The decision making is modeled through a light noncooperative game designed for low resources networks. Despite the fact that the game used is a noncooperative game, the decision process takes advantage of the collaboration among CWSN nodes in a distributed way. Simulations over Castalia Simulator have been carried out in order to validate the strategy in different scenarios with different interference schemes showing increases in energy savings around 50% depending on the scenario.

show abstract

Section: Resultsmentioning

confidence: 99%

Energy Efficiency Strategy in D2D Cognitive Networks Using Channel Selection Based on Game Theory and Collaboration

Romero

Blesa

Rozas

et al. 2016

International Journal of Distributed Sensor Networks

Self Cite

View full text Add to dashboard Cite

show abstract

“…Case III: Considering , and remaining energy as network metric The low-energy nodes expire early in comparison to nodes with higher energy. Besides, the amount of interference effect from low energy nodes is high [17]. Therefore, the other competing nodes will avoid selecting the channel used by nodes having low energy.…”

Section: Utility Functions For Channel Allocation Gamementioning

confidence: 99%

Design of utility functions for game-based channel allocation in cognitive radio wireless sensor network

Rai¹,

Ghose

Sarma³

2021

IJEECS

View full text Add to dashboard Cite

Cognitive radio enabled wireless sensor network is capable of reducing the spectrum scarcity problem of the wireless networks. Looking at the scarcity of available bandwidth, and the high growth in the number of communication devices in recent times, cognitive radio technology has proven to be a promising technology for the days to come. The application of Game Theory in cognitive radio networks has been visible in recent research works. However, only limited literature is available in which possibilities of applying the game-theory based approaches for the challenging task of channel assignment in cognitive radio wireless sensor are available in the literature. It is understood that the crux of the solution to the problem of scheming games for allocation of the channel is centered on the selection of the utility function in order to increase the efficiency of the channel allocation algorithm. Accordingly, the study regarding the influence of several utility functions on the performance of the corresponding channel allocation algorithm is important. Such a study enables designers to arrive at the optimal utility function to be used in game-theory based channel allocation algorithms, and the same is explored to the best extent, in this paper. The detailed procedure of allocating channels to all the contending nodes through game-based channel allocation has been discussed in this paper. Moreover, the performance of six different utility functions proposed which can be used for channel allocation using game theory has been evaluated for respective performances through MATLAB-based simulations.

show abstract

“…Romero et al [25] examine a game theory-based strategy to reduce energy consumption in cognitive WSNs. e strategy was initially meant to provide an answer to the problem of spectrum inefficiency.…”

Section: Related Workmentioning

confidence: 99%

Energy-Efficient Coalition Games with Incentives in Machine-to-Machine Communications

Juma

Kurien

Olwal

2019

Journal of Computer Networks and Communications

View full text Add to dashboard Cite

The need to achieve energy efficiency in machine-to-machine (M2M) communications has been a driver of the use of coalition game-based cooperative communication schemes. The proposed schemes have shown good energy-efficient performance results in the recent past. However, sustaining cooperation amongst coalition games of M2M devices from different network-operating authorities requires appropriate incentives. A review of the literature demonstrates that a limited number of contributions have considered the use of coalition games with incentives in M2M communications. In this paper, an energy-efficient coalition game with incentives in M2M communications is proposed. This work considers a Sierpinski triangle technique to partition M2M devices into multiple networks of hierarchical zones. Based on the constructed zones, a contract-modelled incentive is invoked to stimulate multihop transmissions between devices up to the BS/sink. The results obtained demonstrate that the proposed approach is on average 10% more energy efficient than the closely related existing algorithm, the coalition game theoretical clustering (CGTC).

show abstract

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

Cited by 10 publications

References 19 publications

Energy Efficiency Strategy in D2D Cognitive Networks Using Channel Selection Based on Game Theory and Collaboration

Energy Efficiency Strategy in D2D Cognitive Networks Using Channel Selection Based on Game Theory and Collaboration

Design of utility functions for game-based channel allocation in cognitive radio wireless sensor network

Energy-Efficient Coalition Games with Incentives in Machine-to-Machine Communications

Contact Info

Product

Resources

About