Blockchain Framework for Cognitive Sensor Network Using Non-Cooperative Game Theory
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Blockchain Framework for Cognitive Sensor Network Using Non-Cooperative Game Theory
Abstract
Cognitive Sensor Networks (CSNs) represent an advanced paradigm of wireless sensor networks that integrate spectrum sensing, dynamic channel access, and context-aware decision making. However, distributed sensing and dynamic spectrum sharing expose CSNs to critical challenges in trust management, spectrum contention, and secure data exchange. This paper proposes a blockchain framework combined with non-cooperative game theory to create a secure, incentive-compatible environment for cognitive sensor nodes. Blockchain technology provides a decentralized and tamper-resistant ledger for recording spectrum transactions, sensor reputations, and policy enforcement, while non-cooperative game theory models the competitive behavior of nodes vying for shared spectrum resources. The integrated framework enhances transparency, mitigates selfish behavior, and ensures fair resource allocation with minimal overhead.
Existing System
Current cognitive sensor networks generally use centralized or semi-centralized controllers for spectrum allocation, authentication, and trust management. While these methods simplify coordination, they introduce single points of failure and latency, and are vulnerable to malicious spectrum hoarding or false sensing reports. Traditional security mechanisms rely on pre-distributed keys and local reputation systems, which can be easily manipulated or lack scalability. Furthermore, existing incentive models rarely account for strategic, selfish node behavior, leading to inefficient or unfair spectrum utilization. As the number of devices and data flows increases, these centralized and static mechanisms become inadequate for maintaining security, trust, and fair resource distribution in real-time dynamic environments.
Proposed System
The proposed system integrates a permissioned blockchain with a non-cooperative game-theoretic model to establish secure and fair spectrum management in CSNs. Each cognitive sensor node maintains a lightweight blockchain client to record spectrum sensing results, spectrum allocation bids, and reputation scores. Smart contracts automate access control, token-based incentives, and penalties for misbehavior. The non-cooperative game model captures the strategic interactions among nodes competing for spectrum, where each node seeks to maximize its own utility while constrained by blockchain-enforced rules. An equilibrium-based mechanism (e.g., Nash equilibrium or evolutionary stable strategy) ensures fair and efficient spectrum allocation while deterring selfish or malicious activity. This hybrid approach eliminates the need for a centralized controller, provides transparent auditing, and strengthens trust across heterogeneous nodes. By leveraging lightweight cryptography and off-chain channels for high-frequency interactions, the design remains feasible for resource-constrained sensor nodes while offering high security, decentralization, and adaptability to dynamic network conditions.
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