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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Optimal Pricing and Power Allocation for Collaborative Jamming with Full Channel Knowledge in Wireless Sensor

Dae-Kyo Jeong1, Insook Kim2, Dongwoo Kim3

  • 1Department of Electronics and Communication Engineering, Hanyang University, Ansan 15588, Korea. dkjeong@wnl.hanyang.ac.kr.

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|November 23, 2017
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Summary

Alice develops a pricing model for friendly jammers to block eavesdroppers. This collaborative jamming strategy balances signal power and jamming effectiveness, optimizing network security and Alice's benefit.

Keywords:
Stackelberg gamedistributed pricingoptimal pricingpower allocationsecure capacity

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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.