Location-aware IoT Search Framework based on Data Messaging and Aggregation Techniques

With the deeper penetration of the Internet of Things (IoT) devices into the physical infrastructure and wider acceptance of IoT technologies by the community has created a tremendous opportunity for designers and developers to put forth applications that aim to improve the present state-of-the-art solutions. Location-based Service (LBS) provisioning is one such area where location data is utilized to offer user-centric services and thus improve personalized user experience. In this paper, we propose a search framework for the IoT ecosystem that offers location-aware services based on data messaging and aggregation techniques. We design a taxonomy for the classification of the IoT devices based on their mobility frequency and leverage it to design a priority scheme to address the co-located devices that offer similar services. Experimental results show that our proposed LBS Provisioning System is more effective in term of query resolution and storage requirements when compared to several existing works.