Game-theoretic algorithm stimulating cooperation in multi-hop wireless networks

Baig, Owais; AI-Harthi, Yahya Subhi; Altubaishi, Essam Saleh

doi:10.1109/gamenets.2014.7043691

Cited by 6 publications

(3 citation statements)

References 17 publications

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“…Baig et al [11] demonstrate the problem of selfish nodes in a wireless sensor network (WSN) and proposed a novel distributed game-theoretic algorithm that motivates cooperation among these nodes. The nodes in the wireless network are limited in their resources, and due to the absence of unified control center, the nodes have no incentive to participate.…”

Section: Game-theoretic Algorithm Stimulating Cooperation In Multi-homentioning

confidence: 99%

Ontology-Based Cyber Security Policy Implementation in Saudi Arabia

Talib¹,

Alomary²,

Alwadi³

et al. 2018

JIS

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Cyber security is an important element of national security and the safekeeping of a nation's constituency and assets. In Saudi Arabia, the point of interest on cyber security is particularly outstanding due to the fact that Saudi Arabia has a highly cyber attacks all over the Arab countries. This paper displays on contemporary studies done in Saudi Arabia in regards to cyber security policy coverage. The point of interest of this paper is the use of ontology to identify and suggest a formal, encoded description of the cyber security strategic environment, and propose the development of ontology to be able to permit the implementation of the sort of policy. The intention of the ontology is to become aware of and constitute the multi-layered company of gamers and their related roles and obligations within the cyber security environment. This could make contributions in large part to the improvement, implementation and rollout of a country wide cyber security policy in Saudi Arabia.

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Section: Game-theoretic Algorithm Stimulating Cooperation In Multi-homentioning

confidence: 99%

Ontology-Based Cyber Security Policy Implementation in Saudi Arabia

Talib¹,

Alomary²,

Alwadi³

et al. 2018

JIS

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“…Economy has long used this approach to analyze corporate behavior in the market, so that it can determine strategies for interacting in the market. Besides in the economic field, game theory has been used to solve some problems in the communication system [11] [12] and internet [13] [14]. This paper explains how game theory can be applied in ecotourism data collection applications.…”

Section: Related Workmentioning

confidence: 99%

Gamification to Improve Digital Data Collection in Ecotourism Management

Supriyanto

Fahana

Handoko³

2018

2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT)

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Data needs of ecotourism managers are quite high. Data is used to improve service and quality. However, there is not much data availability and tends to be difficult to collect. Even though they have used information technology to facilitate data collection, they have not yet obtained maximum results. The reason is that managers do not manage information technology properly and not many tourists participate in filling in information technology content. The advancement of information technology especially online-based social networks actually provides a lot of data. But the manager has difficulty retrieving the data, because it requires unique keywords or markers. Keywords or markers are needed for the process of withdrawing data from internet. This marker also makes it easy to cluster very large amounts of data. This paper describes how to design of digital data collection systems uses the gamification approach. Using game strategy theory and game elements such as rewards and leaderboard. The goal is to attract tourists or visitors to share photos, videos and stories through social media. This system is very simple, utilizing existing information technology and social media. Thus more tourists are interested and motivated to share, more data collection they have, so that management and improvement of ecotourism services can run better.

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“…With the application of Game theory, wireless network resources can also be optimized. In [10], author proposes a distributed game theory algorithm that can encourage network nodes to cooperate in order to increase the throughput of wireless networks. Although game theory has a wide range of applications, game theory relies on human rational thinking.…”

Section: Introduction 1motivationmentioning

confidence: 99%

DE based Resource Allocation for D2D assisted NOMA Systems

Jia

Tian

et al. 2023

Preprint

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The explosion of wireless network services forces us to seek new technologies and resource allocation schemes. Three joint resource allocation frameworks for device-to-device (D2D) communication in non-orthogonal multiple access (NOMA) assisted multi-cell systems are proposed. D2D can reduce the access pressure of base station (BS) equipment, and NOMA can multiplex network spectrum resources, and the integration of them can further improve the performance of multi-cell networks. We investigate the joint user association, resource block (RB) assignment, and power allocation problem in multi-cell systems with the aim of maximizing the sum rate of D2Ds. To solve this mixed-integer non-linear programming (MINLP) problem, we propose three differential evolution (DE) algorithms. First, we invoke the coevolution DE-based resource allocation (CDRA) framework which encodes the RB assignment and power allocation into the same individual for evolution. Second, we invoke the iteration-combining DE-based resource allocation (IDRA) framework, which adopts two-steps DE algorithm to solve optimal power allocation and RB assignment scheme iteratively. Last, we invoke the power-repairing DE-based resource allocation (PDRA) framework, which combines a similar joint RB assignment and power allocation as CDRA, where power repair is added after each iteration. Simulation results demonstrate that: \romannumeral1) the integration of D2D and NOMA techniques is capable of enhancing the achievable sum rate of D2Ds; \romannumeral2) the proposed three proposed frameworks for multi-cell NOMA networks can effectively optimize the objective function. However, comparing with CDRA and IDRA, PDRA performs better in terms of convergence speed and maximum D2D rate.

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Game-theoretic algorithm stimulating cooperation in multi-hop wireless networks

Cited by 6 publications

References 17 publications

Ontology-Based Cyber Security Policy Implementation in Saudi Arabia

Ontology-Based Cyber Security Policy Implementation in Saudi Arabia

Gamification to Improve Digital Data Collection in Ecotourism Management

DE based Resource Allocation for D2D assisted NOMA Systems

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