{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,18]],"date-time":"2025-12-18T14:29:44Z","timestamp":1766068184625,"version":"build-2065373602"},"reference-count":63,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2025,5,30]],"date-time":"2025-05-30T00:00:00Z","timestamp":1748563200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Information"],"abstract":"<jats:p>In Wireless Sensor Networks (WSNs) used for real-time applications, ensuring Quality of Service (QoS) is essential for maintaining end-to-end performance guarantees. QoS requirements are typically defined by a set of end-to-end constraints, including delay, jitter, and packet loss. In multi-hop scenarios, this requires multi-constrained path computation. This research examines the standard Routing Protocol for Low-Power and Lossy Networks (RPL), which employs a Destination-Oriented Directed Acyclic Graph (DODAG) for data transmission. Nonetheless, there are several challenges related to multi-constrained route computation in the RPL: (1) The DODAG originates from an objective function that cannot manage multiple constraints. (2) The process of computing multi-constrained routes is resource-intensive, even for a single path. (3) The collection of QoS-compatible paths does not necessarily form a DODAG. To address these challenges, this paper suggests modifications to the existing protocols that shift computationally demanding tasks to edge servers. Such a strategic adjustment allows for the implementation of QoS-compatible route computation in WSNs using the RPL. It enhances their ability to meet increasingly stringent demands for QoS in numerous application environments.<\/jats:p>","DOI":"10.3390\/info16060464","type":"journal-article","created":{"date-parts":[[2025,5,30]],"date-time":"2025-05-30T08:07:58Z","timestamp":1748592478000},"page":"464","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Offloaded Computation for QoS Routing in Wireless Sensor Networks"],"prefix":"10.3390","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7802-3681","authenticated-orcid":false,"given":"Basma","family":"Mostafa","sequence":"first","affiliation":[{"name":"Operations Research Department, Faculty of Computers & Artificial Intelligence, Cairo University, Cairo 12613, Egypt"},{"name":"Faculty of Artificial Intelligence, Horus University, New Damietta 8027201, Egypt"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1345-4792","authenticated-orcid":false,"given":"Miklos","family":"Molnar","sequence":"additional","affiliation":[{"name":"Laboratoire d\u2019Informatique, de Robotique et de Micro\u00e9Lectronique de Montpellier (LIRMM), University of Montpellier, Centre National de la Recherche Scientifique (CNRS), 34095 Montpellier, France"}]}],"member":"1968","published-online":{"date-parts":[[2025,5,30]]},"reference":[{"key":"ref_1","unstructured":"Crawley, E., Nair, R., Rajagopalan, B., and Sandick, H. 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