Content area

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.

Details

1009240
Business indexing term
Title
Adaptive resource allocation and routing for integrated sensing and communications for wireless technologies
Volume
2025
Issue
1
Pages
33
Publication year
2025
Publication date
Dec 2025
Publisher
Springer Nature B.V.
Place of publication
New York
Country of publication
Netherlands
ISSN
16871472
e-ISSN
16871499
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2025-05-16
Milestone dates
2025-04-11 (Registration); 2024-10-09 (Received); 2025-04-10 (Accepted)
Publication history
 
 
   First posting date
16 May 2025
ProQuest document ID
3205535178
Document URL
https://www.proquest.com/scholarly-journals/adaptive-resource-allocation-routing-integrated/docview/3205535178/se-2?accountid=208611
Copyright
Copyright Springer Nature B.V. Dec 2025
Last updated
2025-07-22
Database
ProQuest One Academic