With the advent of novel technologies, the coverage of communication networks and the number of participating nodes have increased drastically. Due to the dynamic and decentralized nature of the system, some nodes tend to be uncooperative with other nodes within the network. The uncooperative nodes (selfish nodes) use the facilities of the cooperative nodes to raise their interest, which leads to security threats, path delay, congestion and a suboptimal use of resources. To curtail this issue and enhance the performance of the system, there is need to identify potentially selfish nodes. This paper proposes a combination of Nash equilibrium based game theory with Price of Anarchy (PoA) for detection of selfish nodes in a network. Also, a least response dynamic based Capacitated Selfish Resource Allocation (CSRA) game is proposed to enhance resource usage among participating nodes. The simulation was carried out using the SolarWinds simulator and an evaluation of the results demonstrates that the proposed approach promises outputs in terms of throughput, delay and delivery ratio in comparison to the state-of-the-art detection and allocation techniques.
The goal of game theory is to model actions among players or users in a common space who deal with various situations and face various outcomes. The study of game theory is widely applied to a wide range of economic fields, including auctions, renewable energy, wireless sensor networks, and software defined networks. Resource allocation and cooperation between networks or terminals are important in the field of game theory networking. In order to infer concrete solutions for the players, game formulas are used. A solution is determined by classifying players and calculating the Price of Anarchy (PoA) and Price of Stability (PoS) in order to determine Nash equilibrium and evaluate efficiency. Using the Open Systems Interconnection (OSI) layer as a lens, this study examines a variety of applications of game theory in non-cooperative environments and communication systems. This study focuses on the 'presence of governing' or participation nodes in a set of players in a network. Also, a comparison of different research fields in game theory is made.
India has the second largest concentration of tribal population in the world. Indian tribes constitute around 8.3% of nation’s total population. To assess the prevalence of Prediabetes and diabetes mellitus among tribal population of Kancheepuram district. Cross sectional study design, Multi stage cluster sampling technique was used, house to house data collection was done for 85 irula tribal people. The Irula are a Scheduled tribe that lives in northern Tamil Nadu and the Nilgiri Hills. They are sort of like a cross between tribals and ordinary southern Indians. structured questionnaire were used to assess demographic variables (gender, age, educational qualification, marital status, family status, occupation, monthly salary and religion). Measurements taken were height, weight, and blood sugar by finger prick method with glucometer. Above 140 to 199 mg/dl considered as prediabetes and 200mg/dl is considered as diabetes. Prevalence of prediabetes and diabetes mellitus among tribes were 49.4%, 25.9%, poor literacy, poverty and substance abuse makes the tribes more prone to prediabetes and diabetes.
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