Adaptive resource allocation and routing for integrated sensing and communications for wireless technologies.
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| Titel: | Adaptive resource allocation and routing for integrated sensing and communications for wireless technologies. |
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| Autoren: | Subramaniyan, Manochandar1 (AUTHOR), Venkatasamy, Thiruppathy Kesavan2,3 (AUTHOR), Thotakuruchi Mathiyalagan, Nithya4 (AUTHOR), Jakir Hossen, Md.5 (AUTHOR) jakir.hossen@mmu.edu.my |
| Quelle: | EURASIP Journal on Wireless Communications & Networking. 5/16/2025, Vol. 2025 Issue 1, p1-27. 27p. |
| Schlagwörter: | *INDUSTRIAL robots, *COMPUTER-aided engineering, *TELECOMMUNICATION, *ARTIFICIAL intelligence, *DATA transmission systems |
| Abstract: | The integrated sensing and communications (ISC) application completely changes the game regarding collecting, analyzing, and dispensing facts in real time via combining sensing skills with communication structure. The present research delves into how ISC can enhance decision-making in healthcare, smart towns, and environmental monitoring. Issues with interoperability, electricity intake, ecological resilience, and the worrying latency requirements of task-critical packages are many obstacles to easy integration. Our proposed mechanism, adaptive resource allocation and routing for integrated sensing (ARAR-IS), which uses new wireless technologies, attempts to clear up these problems by allocating and routing assets for incorporated sensing. ARAR-IS dynamically allocates sources and routes information considering the real global and network dynamics. Optimizing resource utilization, mitigating interference, and enhancing dependability in ISC systems are achieved using ARAR-IS, which leverages cognitive routing algorithms and software program-defined networking ideas. With ARAR-IS, various computer-aided engineering regions can benefit from customized remedy plans, far-off patient tracking, and real-time attempts to lessen pollution. These domains include healthcare, proper infrastructure, industrial automation, and environmental monitoring. Thorough simulation-based assessments show that ARAR-IS is a pleasant alternative for ISC systems in many one-of-a-kind situations because of its high reliability, low-strength intake, excessive throughput, and low latency. [ABSTRACT FROM AUTHOR] |
| Datenbank: | Academic Search Index |
| Abstract: | The integrated sensing and communications (ISC) application completely changes the game regarding collecting, analyzing, and dispensing facts in real time via combining sensing skills with communication structure. The present research delves into how ISC can enhance decision-making in healthcare, smart towns, and environmental monitoring. Issues with interoperability, electricity intake, ecological resilience, and the worrying latency requirements of task-critical packages are many obstacles to easy integration. Our proposed mechanism, adaptive resource allocation and routing for integrated sensing (ARAR-IS), which uses new wireless technologies, attempts to clear up these problems by allocating and routing assets for incorporated sensing. ARAR-IS dynamically allocates sources and routes information considering the real global and network dynamics. Optimizing resource utilization, mitigating interference, and enhancing dependability in ISC systems are achieved using ARAR-IS, which leverages cognitive routing algorithms and software program-defined networking ideas. With ARAR-IS, various computer-aided engineering regions can benefit from customized remedy plans, far-off patient tracking, and real-time attempts to lessen pollution. These domains include healthcare, proper infrastructure, industrial automation, and environmental monitoring. Thorough simulation-based assessments show that ARAR-IS is a pleasant alternative for ISC systems in many one-of-a-kind situations because of its high reliability, low-strength intake, excessive throughput, and low latency. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 16871472 |
| DOI: | 10.1186/s13638-025-02461-0 |
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