{"id":4,"date":"2011-12-08T11:55:34","date_gmt":"2011-12-08T11:55:34","guid":{"rendered":"http:\/\/project.inria.fr\/template1\/?page_id=4"},"modified":"2026-03-20T13:20:11","modified_gmt":"2026-03-20T12:20:11","slug":"home","status":"publish","type":"page","link":"https:\/\/project.inria.fr\/singit\/","title":{"rendered":"SINGIT: Sustainable, Intelligent, and Next\u2011Generation Internet of Things"},"content":{"rendered":"<p>The SINGIT associate team is a joint research initiative between Inria ERMINE (Rennes, France) and the Indian Institute of Technology Delhi, dedicated to building a sustainable and intelligent Internet of Things (IoT) framework for next\u2011generation applications. Our work targets end\u2011to\u2011end Quality of Service (QoS) guarantees across highly heterogeneous and dynamic IoT scenarios, from smart grids to healthcare and large\u2011scale environmental monitoring.<\/p>\n\n\n<h2 class=\"wp-block-heading\" id=\"our-vision\">Our vision<\/h2>\n\n\n\n<p>SINGIT aims to enable an IoT ecosystem where billions of devices can communicate reliably, efficiently, and with strong QoS guarantees, even under stringent energy and spectrum constraints. By leveraging recent advances in 5G\u2011Advanced (3GPP Releases 18\u201319) and AI, the team seeks solutions that are not only high\u2011performance but also&nbsp;<strong>sustainable<\/strong>&nbsp;over the long term.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"scientific-focus\">Scientific focus<\/h2>\n\n\n\n<p>SINGIT structures its research around three core directions:\u200b<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Dynamic prioritization and QoS\u2011aware algorithms to adapt to diverse and fluctuating IoT traffic patterns while meeting strict latency, reliability, and throughput requirements. This includes handling the coexistence of ultra\u2011reliable low\u2011latency communications and massive IoT services in shared infrastructures.\u200b<\/li>\n\n\n\n<li>AI\u2011driven IoT\u2013edge\u2013cloud orchestration to place computation and data processing at the right place, at the right time, from devices to edge nodes and cloud platforms. Machine learning is used to anticipate demand, optimize service placement, and react to network dynamics.\u200b<\/li>\n\n\n\n<li>Cross\u2011layer and energy\u2011efficient resource optimization to reduce energy, spectrum, and bandwidth usage while preserving QoS guarantees. This cross\u2011layer view spans device, network, and application layers, taking advantage of new features such as QoS monitoring and IoT over Non\u2011Terrestrial Networks (NTN).\u200b<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"application-domains\">Application domains<\/h2>\n\n\n\n<p>The team investigates and validates its methods in several representative IoT domains:\u200b<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Smart grid control and critical infrastructure monitoring, where robust and low\u2011latency communication is essential for grid stability and safety.\u200b<\/li>\n\n\n\n<li>Healthcare and well\u2011being, through reliable and secure monitoring solutions that can adapt to varying network conditions and patient needs.\u200b<\/li>\n\n\n\n<li>Large\u2011scale environmental monitoring, where massive deployments of sensors must operate efficiently over long periods and challenging connectivity conditions.\u200b<\/li>\n<\/ul>\n\n\n\n<p>These domains serve as realistic testbeds to demonstrate the impact of SINGIT\u2019s algorithms and architectures on real\u2011world IoT deployments.\u200b<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"collaboration-and-funding\">Collaboration and funding<\/h2>\n\n\n\n<p>SINGIT is an Inria Associate Team between ERMINE (Inria Centre at Universit\u00e9 de Rennes) and IIT Delhi (Department of Electrical Engineering), led by Chetna Singhal (Inria) and Swades De (IIT Delhi). The collaboration is supported in the framework of the DST\u2011CEFIPRA programme (Centre Franco\u2011Indien pour la Promotion de la Recherche Avanc\u00e9e), combining Inria funding with co\u2011funding requested from the Indian side to sustain joint research, exchanges, and shared experimental facilities.<\/p>","protected":false},"excerpt":{"rendered":"<p>The SINGIT associate team is a joint research initiative between Inria ERMINE (Rennes, France) and the Indian Institute of Technology Delhi, dedicated to building a sustainable and intelligent Internet of Things (IoT) framework for next\u2011generation applications. Our work targets end\u2011to\u2011end Quality of Service (QoS) guarantees across highly heterogeneous and dynamic\u2026<\/p>\n<p> <a class=\"continue-reading-link\" href=\"https:\/\/project.inria.fr\/singit\/\"><span>Continue reading<\/span><i class=\"crycon-right-dir\"><\/i><\/a> <\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"open","template":"","meta":{"footnotes":""},"class_list":["post-4","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/project.inria.fr\/singit\/wp-json\/wp\/v2\/pages\/4","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/project.inria.fr\/singit\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/project.inria.fr\/singit\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/singit\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/singit\/wp-json\/wp\/v2\/comments?post=4"}],"version-history":[{"count":7,"href":"https:\/\/project.inria.fr\/singit\/wp-json\/wp\/v2\/pages\/4\/revisions"}],"predecessor-version":[{"id":94,"href":"https:\/\/project.inria.fr\/singit\/wp-json\/wp\/v2\/pages\/4\/revisions\/94"}],"wp:attachment":[{"href":"https:\/\/project.inria.fr\/singit\/wp-json\/wp\/v2\/media?parent=4"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}