Two-way Communication with Adaptive Data Acquisition
Behzad Ahmadi, Osvaldo Simeone

TL;DR
This paper studies a bidirectional communication system where one node adaptively acquires environmental data to optimize information exchange, balancing communication costs, data accuracy, and robustness, within a multi-terminal rate-distortion framework.
Contribution
It introduces a novel model for two-way communication with adaptive data acquisition, deriving the optimal trade-offs between communication rates, distortions, and acquisition costs.
Findings
Optimal trade-off between communication rates and data acquisition costs.
Robustness analysis of the data acquisition process.
Illustrative example demonstrating roles of communication, query, and control.
Abstract
Motivated by computer networks and machine-to-machine communication applications, a bidirectional link is studied in which two nodes, Node 1 and Node 2, communicate to fulfill generally conflicting informational requirements. Node 2 is able to acquire information from the environment, e.g., via access to a remote data base or via sensing. Information acquisition is expensive in terms of system resources, e.g., time, bandwidth and energy and thus should be done efficiently by adapting the acquisition process to the needs of the application. As a result of the forward communication from Node 1 to Node 2, the latter wishes to compute some function, such as a suitable average, of the data available at Node 1 and of the data obtained from the environment. The forward link is also used by Node 1 to query Node 2 with the aim of retrieving suitable information from the environment on the…
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Taxonomy
TopicsWireless Communication Security Techniques · Energy Harvesting in Wireless Networks · Distributed Sensor Networks and Detection Algorithms
