Game-theory-based lifetime maximization of multi-channel cooperative spectrum sensing in wireless sensor networks

Bagheri, Asma; Ebrahimzadeh, Ataollah; Najimi, Maryam

doi:10.1007/s11276-020-02369-1

Cited by 15 publications

(4 citation statements)

References 32 publications

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“…Game theory has always been of interest in analyzing equilibrium and the determination of a stable point. Similar cases, such as social structure formation [43,44], resource allocation, aggregation [45,46], and optimization [47], used this technique to analyze the problem. The coalition formation allows organizations to cooperate and create benefits that arise from the integration of business applications.…”

Section: Discussionmentioning

confidence: 99%

An incentive mechanism for integration of business applications between organizations

Esmaeilyfard

Salehi

2023

RAIRO-Oper. Res.

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Extending services and operations of organizations in the field of e-business or e-government sometimes requires the integration of business applications. However, sometimes due to challenges and risks, such as complex business processes reengineering, upstream organizations are reluctant to integrate their applications. This paper focuses on two critical questions; (1) How can organizations be encouraged to participate in integrating their business applications? (2) What is the amount of incentives required? In this study, cooperative game theory and the externalities of these systems have been considered to form a stable coalition between organizations for integrating their business applications. We provided an algorithm for determining the incentives to integrate the business applications with other organizations in this coalition. These incentives can be extended to various management issues for better decision-making such as economic aspects, public subsidies, and public participation. The results of experiments have shown that creating a coalition based on this strategy is always possible, and the benefits of organizations in the coalition rise with increasing service delivery in business applications.

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Section: Discussionmentioning

confidence: 99%

An incentive mechanism for integration of business applications between organizations

Esmaeilyfard

Salehi

2023

RAIRO-Oper. Res.

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“…The log-likelihood-ratio-test for the nth SU at dth observation to detect the PU signal is given as: here, p(y(k)) is probability density function at the nth SU for the received PU signal under the hypothesis H 1 , H 0 . The game theory-based multi-channel cooperative spectrum sensing is developed in [159] which focused on spectrum allotment via game theory approach. In [160], compressive spectrum sensing via complementary matrices is employed for PU detection.…”

Section: Recent Spectrum Sensing Methodsmentioning

confidence: 99%

A Survey on Soft Computing Techniques for Spectrum Sensing in a Cognitive Radio Network

Eappen

Shankar

2020

SN COMPUT. SCI.

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The need for faster wireless connectivity is increasing rapidly in all the sectors of the technologies. Whether it is a patient monitoring system, military application, entertainment services, streaming services, or global stock markets, there is a tremendous increase in the need for enhanced wireless telecommunication services. The wireless telecommunication consumers rely on bulk data, and massive growth in the number of users has resulted in the spectrum congestion. To avoid such spectrum congestion and to satisfy the data hunger of the wireless telecommunication users, the possible solution is Cognitive Radio Network (CRN). A CRN, therefore, plays a significant role in the field of wireless communication, and an efficient spectrum sensing enhances the effectiveness of the CRN. In this paper, complete research carried out so far in the field of spectrum sensing for CRN is discussed. Different soft computing techniques (GA, PSO, ABC, ACO, FFA, FSS, Cuckoo Search, ANN, FIS, GFIS) are surveyed in this paper, along with a detailed comparative analysis between conventional and soft computing techniques for spectrum sensing. In addition to that, the challenges faced in the implementation of CRN and its requirements is also addressed. Different spectrum sensing elements and requirements are presented and road map of spectrum sensing with soft computing techniques towards 5G is discussed. Furthermore, the paper also suggests the future prospects, research challenges and open issues associated with soft computing techniques for spectrum sensing in CRN.

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“…Spectrum resource allocation is similar to a multi-objective optimization problem, which needs to consider the frequency of multiple users. For spectrum resource allocation, classical spectrum allocation methods include graph theory model [3,4], game theory model [5,6], interference temperature model [7] and auction auction model [8,9].…”

Section: Introductionmentioning

confidence: 99%

An Improved Monarch Butterflfly Spectrum Allocation Algorithm for Multi-Source Data Stream in Complex Electromagnetic Environment

Liu

Cao

Han

2022

Preprint

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In the era of the Internet of Everything, various wireless devices and sensors use spectrum, which is a precious and non-renewable resource, to communication. Due to the characteristics of massive, heterogeneous, and multi-source, the generated multi-source data stream brings diffiffifficulties to spectrum cognition. As a result, unreasonable spectrum allocation strategy leads to low utilization of spectrum resources. Optimizing spectrum allocation strategy can effffectively improve spectrum utilization. Aiming at the problem of trapped local optimum solution in the genetic algorithm(GA) and particle swarm optimization algorithm(PSO), an improved monarch butterflfly algorithm is proposed. Firstly,this paper employs the simulated annealing algorithm to select the migration rate, which increases the diversity of monarch butterflfly population. Secondly, chaos mapping algorithm is utilized to improve the optimization ability and convergence speed. Finally, for the non-renewal mechanism of monarch butterflfly algorithrm, the wandering behavior of wolf pack algorithm is introduced to update the population and improve the population diversity. The experimental results show that the improved monarch butterflfly algorithm outperforms the other two algorithms in terms of convergence speed and system revenue.

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Game-theory-based lifetime maximization of multi-channel cooperative spectrum sensing in wireless sensor networks

Cited by 15 publications

References 32 publications

An incentive mechanism for integration of business applications between organizations

An incentive mechanism for integration of business applications between organizations

A Survey on Soft Computing Techniques for Spectrum Sensing in a Cognitive Radio Network

An Improved Monarch Butterflfly Spectrum Allocation Algorithm for Multi-Source Data Stream in Complex Electromagnetic Environment

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