Optimizing Version Innovation Age for Monitoring Markovian Source in Energy-Harvesting Systems
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866917803825561600 |
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| author | Salimnejad, Mehrdad Ephremides, Anthony Kountouris, Marios Pappas, Nikolaos |
| author_facet | Salimnejad, Mehrdad Ephremides, Anthony Kountouris, Marios Pappas, Nikolaos |
| contents | We study the real-time remote tracking of a two-state Markov process by an energy harvesting source. The source decides whether to transmit over an unreliable channel based on the state. We formulate this scenario as a Markov decision process (MDP) to determine the optimal transmission policy that minimizes the average Version Innovation Age (VIA) as a performance metric. We demonstrate that the optimal transmission policy is threshold-based, determined by the battery level, source state, and VIA value. We numerically verify the analytical structure of the optimal policy and compare the performance of our proposed policy against two baseline policies across various system parameters, establishing the superior performance of our approach. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_11521 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Optimizing Version Innovation Age for Monitoring Markovian Source in Energy-Harvesting Systems Salimnejad, Mehrdad Ephremides, Anthony Kountouris, Marios Pappas, Nikolaos Information Theory Networking and Internet Architecture Systems and Control We study the real-time remote tracking of a two-state Markov process by an energy harvesting source. The source decides whether to transmit over an unreliable channel based on the state. We formulate this scenario as a Markov decision process (MDP) to determine the optimal transmission policy that minimizes the average Version Innovation Age (VIA) as a performance metric. We demonstrate that the optimal transmission policy is threshold-based, determined by the battery level, source state, and VIA value. We numerically verify the analytical structure of the optimal policy and compare the performance of our proposed policy against two baseline policies across various system parameters, establishing the superior performance of our approach. |
| title | Optimizing Version Innovation Age for Monitoring Markovian Source in Energy-Harvesting Systems |
| topic | Information Theory Networking and Internet Architecture Systems and Control |
| url | https://arxiv.org/abs/2410.11521 |