Bandwidth-Efficient Frequency Hopping based Anti-Jamming Game for Cognitive Radio assisted Wireless Sensor Networks

Sensors can be interconnected to form a wireless sensor network (WSN) for monitoring the environment. However, there is an increasing demand for innovative automation systems and hence the industrial wireless protocols are suffering from spectrum inefficiency and interference issues. Cognitive radio provides a promising solution to spectrum scarcity problem in dense WSNs. However, cognitive nodes are very vulnerable to adversaries such as jamming. In this contribution, we propose a game-theoretic anti-jamming technique for cognitive radio enabled sensor nodes, based on the Markov game framework. Both random and intelligent jammers are considered and our simulation results show that the proposed approach outperforms the existing benchmark scheme.