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Distributed Quantization for Partially Cooperating Sensors Using the Information Bottleneck Method
Steffen Steiner1, Abdulrahman Dayo Aminu2, Volker Kuehn1
1Institute of Communications Engineering, University of Rostock, 18119 Rostock, Germany.
Entropy (Basel, Switzerland)
|April 23, 2022
Summary
Partial cooperation in sensor networks significantly enhances distributed compression. Allowing sensors to share information improves performance, with a two-phase protocol matching full cooperation and boosting robustness.
Area of Science:
- Information Theory
- Distributed Systems
- Signal Processing
Background:
- The Chief Executive Officer (CEO) problem involves sensors compressing data locally for a central receiver.
- Traditional CEO problem formulations assume limited or no inter-sensor communication.
- Extending the CEO problem with partial cooperation introduces new statistical dependencies.
Purpose of the Study:
- To optimize distributed compression in sensor networks with partial inter-sensor cooperation.
- To investigate the impact of different communication protocols on compression performance.
- To analyze the robustness of cooperative strategies against coding inefficiencies.
Main Methods:
- Investigated three inter-sensor communication protocols: successive broadcast, sequential point-to-point, and two-phase transmission.
- Employed a greedy optimization approach inspired by solutions to the original CEO problem.
- Analyzed modified statistical dependencies and their effect on performance bounds.
Main Results:
- Partial communication among sensors significantly improves distributed compression performance.
- The two-phase transmission protocol achieves performance comparable to full cooperation.
- Inter-sensor information exchange enhances robustness against suboptimal Wyner-Ziv coding.
Conclusions:
- Partial cooperation is a viable and effective strategy for optimizing distributed compression in sensor networks.
- The proposed communication protocols offer significant advantages over non-cooperative approaches.
- The findings have implications for designing efficient and robust sensor network systems.
Keywords:
chief executive officer problemcooperating sensorsdistributed compressiondistributed source codinginformation bottleneckMore Related Videos
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