Information Age and Correctness for Energy Harvesting Devices with Random Access
| Title: | Information Age and Correctness for Energy Harvesting Devices with Random Access |
|---|---|
| Authors: | Ngo, Khac-Hoang, Durisi, Giuseppe, Popovski, Petar |
| Publication Year: | 2025 |
| Collection: | Computer Science Mathematics |
| Subject Terms: | Computer Science - Information Theory |
| More Details: | We study a large network of energy-harvesting devices that monitor two-state Markov processes and send status updates to a gateway using the slotted ALOHA protocol without feedback. We let the devices adjust their transmission probabilities according to their process state transitions and current battery levels. Using a Markovian framework, we analyze the average value of a generic state-dependent penalty function that grows whenever there is a state estimation error. The age of incorrect information (AoII) is an example of such penalty function. We propose an accurate and easy-to-compute approximation for the average penalty. Numerical results demonstrate the benefits of optimizing the transmission probabilities to minimize the average penalty. The average-AoII-minimizing strategy can be highly suboptimal in terms of average penalty when one of the process states is critical, i.e., entails a high penalty if wrongly estimated. Furthermore, minimizing the average penalty does not guarantee a low probability of misdetecting a critical state period. Comment: submitted to the International Symposium on Modeling and Optimization in Mobile, Ad hoc, and Wireless Networks (WiOpt) 2025 |
| Document Type: | Working Paper |
| Access URL: | http://arxiv.org/abs/2501.14522 |
| Accession Number: | edsarx.2501.14522 |
| Database: | arXiv |
| Description not available. |