scholarly journals Evolutionary Game Theory-Based Collaborative Sensing Model in Emergency CRAHNs

2012 ◽  
Vol 2012 ◽  
pp. 1-14 ◽  
Author(s):  
Sasirekha GVK ◽  
Jyotsna Bapat
Keyword(s):  
Game Theory ◽  
Cognitive Radio ◽  
Spectrum Sensing ◽  
Evolutionary Game Theory ◽  
Ad Hoc ◽  
Evolutionary Game ◽  
Autonomous Systems ◽  
Simulation Models ◽  
Signal To Noise ◽  
Collaborative Spectrum Sensing

Game theory has been a tool of choice for modeling dynamic interactions between autonomous systems. Cognitive radio ad hoc networks (CRAHNs) constituted of autonomous wireless nodes are a natural fit for game theory-based modeling. The game theory-based model is particularly suitable for “collaborative spectrum sensing” where each cognitive radio senses the spectrum and shares the results with other nodes such that the targeted sensing accuracy is achieved. Spectrum sensing in CRAHNs, especially when used in emergency scenarios such as disaster management and military applications, needs to be not only accurate and resource efficient, but also adaptive to the changing number of users as well as signal-to-noise ratios. In addition, spectrum sensing mechanism must also be proactive, fair, and tolerant to security attacks. Existing work in collaborative spectrum sensing has mostly been confined to resource efficiency in static systems using request-based reactive sensing resulting in high latencies. In this paper, evolutionary game theory (EGT) is used to model the behavior of the emergency CRAHNS, providing an efficient model for collaborative spectrum sensing. The resulting implementation model is adaptive to the changes in its environment such as signal-to-noise ratio and number of users in the network. The analytical and simulation models presented validate the system design and the desired performance.

An evolutionary game theory-based security model in vehicular ad hoc networks

2020 ◽  
Vol 33 (6) ◽  
pp. e4290 ◽  
Author(s):  
Fatemeh Zahedi ◽  
Nazbanoo Farzaneh
Keyword(s):  
Game Theory ◽  
Ad Hoc Networks ◽  
Evolutionary Game Theory ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Evolutionary Game ◽  
Security Model ◽  
Hoc Networks

Throughput optimization for dual collaborative spectrum sensing with dynamic scheduling

2017 ◽  
Vol 31 (19-21) ◽  
pp. 1740089 ◽  
Author(s):  
Cuimei Cui ◽  
Dezhi Yang
Keyword(s):  
Cognitive Radio ◽  
Spectrum Sensing ◽  
Optimization Algorithm ◽  
Ad Hoc ◽  
Dynamic Scheduling ◽  
Throughput Optimization ◽  
Shadow Fading ◽  
Average Throughput ◽  
Collaborative Spectrum Sensing ◽  
Sensing Time

Cognitive radio technology is envisaged to alleviate both spectrum inefficiency and spectrum scarcity problems by exploiting the existing licensed spectrum opportunistically. However, cognitive radio ad hoc networks (CRAHNs) impose unique challenges due to the high dynamic scheduling in the available spectrum, diverse quality of service (QOS) requirements, as well as hidden terminals and shadow fading issues in a harsh radio environment. To solve these problems, this paper proposes a dynamic and variable time-division multiple-access scheduling mechanism (DV-TDMA) incorporated with dual collaborative spectrum sensing scheme for CRAHNs. This study involves the cross-layered cooperation between the Physical (PHY) layer and Medium Access Control (MAC) layer under the consideration of average sensing time, sensing accuracy and the average throughput of cognitive radio users (CRs). Moreover, multiple-objective optimization algorithm is proposed to maximize the average throughput of CRs while still meeting QOS requirements on sensing time and detection error. Finally, performance evaluation is conducted through simulations, and the simulation results reveal that this optimization algorithm can significantly improve throughput and sensing accuracy and reduce average sensing time.

Spectrum Sensing in Emergency Cognitive Radio Ad Hoc Networks

2013 ◽  
pp. 86-102
Author(s):  
Sasirekha GVK ◽  
Jyotsna Bapat
Keyword(s):  
Cognitive Radio ◽  
Ad Hoc Networks ◽  
Spectrum Sensing ◽  
Ad Hoc ◽  
Cognitive Radios ◽  
Distributed Architectures ◽  
Emergency Situations ◽  
Collaborative Spectrum Sensing ◽  
Military Applications ◽  
Hoc Networks

Ad hoc networks are infrastructure less networks which are self organizing and adaptive. Such networks can be used in emergency situations like disaster management and military applications. Usage of cognitive radios as the wireless terminals in ad hoc networks in emergency situations has distinct advantages. Better bandwidth, interoperability, avoidance of interference, and ant-jamming capabilities are a few such advantages. Ad hoc networks with cognitive radios are wireless terminals used in emergency situations and can be referred to as Emergency Cognitive Radio Ad Hoc Networks (Emergency CRAHNs). In this chapter, the authors discuss emergency CRAHNs and the specific requirements that must be met by the spectrum sensing mechanism used by them. In particular, the authors discuss collaborative spectrum sensing methodology; where in multiple cognitive radios operate together such that reliability of spectrum sensing in improved. This collaborative sensing in ad hoc networks can be either of centralized or distributed architectures, both of which are discussed in this chapter.

scholarly journals Bridging evolutionary game theory and metabolic models for predicting microbial metabolic interactions

2019 ◽  
Author(s):  
Jingyi Cai ◽  
Tianwei Tan ◽  
Siu Hung Joshua Chan
Keyword(s):  
Game Theory ◽  
Evolutionary Game Theory ◽  
Ad Hoc ◽  
Shadow Price ◽  
Evolutionary Game ◽  
Growth Conditions ◽  
Microbial Interactions ◽  
Balance Analysis ◽  
Metabolic Interactions ◽  
Metabolic Models

ABSTRACTMicrobial metabolic interactions impact ecosystems, human health and biotechnological processes profoundly. However, their determination remains elusive, invoking an urgent need for predictive models that seamlessly integrate metabolic details with ecological and evolutionary principles which shape the interactions within microbial communities. Inspired by the evolutionary game theory, we formulated a bi-level optimization framework termed NECom for the prediction of Nash equilibria of microbial community metabolic models with significantly enhanced accuracy. NECom is free of a long hidden ‘forced altruism’ setup in previous static algorithm while allowing for ‘sensing and responding’ between microbial members that is missing in dynamic methods. We successfully predicted several classical games in the context of metabolic interactions that were falsely or incompletely predicted by existing methods, including prisoner’s dilemma, snowdrift game and mutualism. The results provided insights into why mutualism is favorable despite seemingly costly cross-feeding metabolites, and demonstrated the potential to predict heterogeneous phenotypes among the same species. NECom was then applied to a reported algae-yeast co-culture system that shares typical cross-feeding features of lichen, a model system of mutualism. More than 1200 growth conditions were simulated, of which 488 conditions correspond to 3221 experimental data points. Without fitting any ad-hoc parameters, an overall 63.5% and 81.7% reduction in root-mean-square error in predicted growth rates for the two species respectively was achieved when compared with the standard flux balance analysis. The simulation results further show that growth-limiting crossfeeding metabolites can be pinpointed by shadow price analysis to explain the predicted frequency-dependent growth pattern, offering insights into how stabilizing microbial interactions control microbial populations.

Distributed spectrum-sharing in cognitive ad hoc networks using evolutionary game theory

2019 ◽  
Vol 30 (3) ◽  
pp. 184
Author(s):  
Yifei Wei ◽  
Bo Gu ◽  
Yali Wang ◽  
Mei Song ◽  
Xiaojun Wang
Keyword(s):  
Game Theory ◽  
Ad Hoc Networks ◽  
Evolutionary Game Theory ◽  
Spectrum Sharing ◽  
Ad Hoc ◽  
Evolutionary Game ◽  
Hoc Networks

Spectrum Sensing in Emergency Cognitive Radio Ad Hoc Networks

2013 ◽  
pp. 944-960
Author(s):  
Sasirekha GVK ◽  
Jyotsna Bapat
Keyword(s):  
Cognitive Radio ◽  
Ad Hoc Networks ◽  
Spectrum Sensing ◽  
Ad Hoc ◽  
Cognitive Radios ◽  
Distributed Architectures ◽  
Emergency Situations ◽  
Collaborative Spectrum Sensing ◽  
Military Applications ◽  
Hoc Networks

Ad hoc networks are infrastructure less networks which are self organizing and adaptive. Such networks can be used in emergency situations like disaster management and military applications. Usage of cognitive radios as the wireless terminals in ad hoc networks in emergency situations has distinct advantages. Better bandwidth, interoperability, avoidance of interference, and ant-jamming capabilities are a few such advantages. Ad hoc networks with cognitive radios are wireless terminals used in emergency situations and can be referred to as Emergency Cognitive Radio Ad Hoc Networks (Emergency CRAHNs). In this chapter, the authors discuss emergency CRAHNs and the specific requirements that must be met by the spectrum sensing mechanism used by them. In particular, the authors discuss collaborative spectrum sensing methodology; where in multiple cognitive radios operate together such that reliability of spectrum sensing in improved. This collaborative sensing in ad hoc networks can be either of centralized or distributed architectures, both of which are discussed in this chapter.

Distributed spectrum-sharing in cognitive ad hoc networks using evolutionary game theory

2019 ◽  
Vol 30 (3) ◽  
pp. 184
Author(s):  
Yifei Wei ◽  
Bo Gu ◽  
Yali Wang ◽  
Mei Song ◽  
Xiaojun Wang
Keyword(s):  
Game Theory ◽  
Ad Hoc Networks ◽  
Evolutionary Game Theory ◽  
Spectrum Sharing ◽  
Ad Hoc ◽  
Evolutionary Game ◽  
Hoc Networks
Sign in / Sign up

Export Citation Format

Share Document