TY - JOUR
T1 - From channel selection to strategy selection
T2 - Enhancing VANETs using socially-inspired foraging and deference strategies
AU - Shattal, Mohammad Abu
AU - Wisniewska, Anna
AU - Khan, Bilal
AU - Al-Fuqaha, Ala
AU - Dombrowski, Kirk
N1 - Publisher Copyright:
© 1967-2012 IEEE.
Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.
PY - 2018/9
Y1 - 2018/9
N2 - Dynamic spectrum access (DSA) has been hailed as a possible panacea for the 'spectrum crunch,' drawing significant attention from researchers and industry alike. Here, we describe a novel system architecture for vehicular ad-hoc networks (VANETs) that relies on the DSA framework. In our system, nodes continuously and independently choose one of three strategies for channel selection. Two of these strategies are biosocially inspired, based on resource sharing behaviors known to have been prevalent in human societies over the course of their natural evolution. We view the strategy selection problem as an evolutionary game, proving that the only evolutionarily stable strategy is one in which all nodes utilize the same strategy that depends on the social characteristics of the nodes and the current channel conditions. Within our system, a specialized road side unit (RSU) continuously computes the game-theoretically optimal evolutionarily stable strategy and broadcasts this recommendation to all VANET nodes. Through ns-3 simulation experiments across a range of social characteristics and channel condition scenarios, we demonstrate that a significant and robust improvement in utility (from 3% to 136%) is achieved when a large fraction of VANET nodes adopt the RSU's recommendation. The approach represents a bold departure from previous research which sought to track and micromanage channel resources from a short-term perspective, to one that provides VANET nodes with long-term recommendations for channel access strategy, both optimized for throughput and robust against attempts at circumvention by deviant users.
AB - Dynamic spectrum access (DSA) has been hailed as a possible panacea for the 'spectrum crunch,' drawing significant attention from researchers and industry alike. Here, we describe a novel system architecture for vehicular ad-hoc networks (VANETs) that relies on the DSA framework. In our system, nodes continuously and independently choose one of three strategies for channel selection. Two of these strategies are biosocially inspired, based on resource sharing behaviors known to have been prevalent in human societies over the course of their natural evolution. We view the strategy selection problem as an evolutionary game, proving that the only evolutionarily stable strategy is one in which all nodes utilize the same strategy that depends on the social characteristics of the nodes and the current channel conditions. Within our system, a specialized road side unit (RSU) continuously computes the game-theoretically optimal evolutionarily stable strategy and broadcasts this recommendation to all VANET nodes. Through ns-3 simulation experiments across a range of social characteristics and channel condition scenarios, we demonstrate that a significant and robust improvement in utility (from 3% to 136%) is achieved when a large fraction of VANET nodes adopt the RSU's recommendation. The approach represents a bold departure from previous research which sought to track and micromanage channel resources from a short-term perspective, to one that provides VANET nodes with long-term recommendations for channel access strategy, both optimized for throughput and robust against attempts at circumvention by deviant users.
KW - Bio-social networking
KW - VANET
KW - cognitive radio
KW - dynamic spectrum access
KW - evolutionary game theory
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U2 - 10.1109/TVT.2018.2853580
DO - 10.1109/TVT.2018.2853580
M3 - Article
AN - SCOPUS:85049462626
VL - 67
SP - 8919
EP - 8933
JO - IEEE Transactions on Vehicular Technology
JF - IEEE Transactions on Vehicular Technology
SN - 0018-9545
IS - 9
M1 - 8403998
ER -