S-COAP: Semantic Enrichment of COAP for Resource Discovery

Abstract

Internet of Things (IoT) paradigm is progressing at an enormous rate creating an expansive ecosystem of interconnected smart devices which needs to be controlled and managed by end applications or users. So, the solution is to discover the best device matching the user requirement in timely manner. Ensuring efficient and context aware resource discovery is a challenge in seamless operation of IoT applications. Semantic Intelligence can be built for resource discovery. In this paper, we propose semantic enrichment of COAP protocol to discover the resources. Resources are semantically modelled, and COAP protocol CORE Link format is modified to incorporate semantic information. Also, we have proposed a framework which is aware of the social relationship between the devices to accommodate distributed topologies. We conducted the experiments in COOJA simulator on CONTIKI OS with COAP protocol semantically enriched. COAP CORE Link format and Resource Directory were semantically enriched, and its effectiveness was measured.

MULTI CRITERIA DECISION BASED RANKED DISCOVERY FRAMEWORK FOR IoT RESOURCESN

“…The QOS attributes accuracy, sensitivity, power usage of the temperature sensor were updated as shown in Fig7. The semantic enriched Constrained Application Protocol (COAP) Resource directory [24] as a part of our previous work , performs the MCDM and ranks and returns the temperature sensors based on user query.…”