Optimal Pricing and Power Allocation for Collaborative Jamming with Full Channel Knowledge in Wireless Sensor...

Area of Science:

• Information Security
• Wireless Communications
• Game Theory

Background:

• Eavesdropping poses a significant threat to wireless communication security.
• Existing jamming models often lack collaborative capabilities and economic considerations.
• Distributed jammers can enhance security by generating interference.

Purpose of the Study:

• To introduce a novel price-searching model for collaborative jamming.
• To determine optimal pricing and power allocation strategies for network security.
• To analyze jammer behavior and Alice's benefit in a competitive environment.

Main Methods:

• Development of a closed-form solution for optimal pricing and power allocation under full channel knowledge.
• Introduction of a distributed, interactive price-searching procedure for scenarios with limited channel knowledge.
• Analysis of jammer's signal power payment to Alice for channel access.

Main Results:

• An optimal price is derived that maximizes Alice's benefit by balancing signal and jamming power.
• The distributed procedure geometrically converges to an optimal price in multi-jammer scenarios.
• Alice achieves diversity gain through greedy jammer selection, increasing with jammer numbers.

Conclusions:

• The proposed model effectively integrates collaborative jamming with economic incentives for enhanced wireless security.
• The distributed price-searching approach offers a practical solution for complex network environments.
• The findings provide valuable insights for designing secure and efficient wireless communication systems.