Visible to the public Virtual Sensing Networks and Dynamic RPL-Based Routing for IoT Sensing Services

TitleVirtual Sensing Networks and Dynamic RPL-Based Routing for IoT Sensing Services
Publication TypeConference Paper
Year of Publication2021
AuthorsAlShiab, Ismael, Leivadeas, Aris, Ibnkahla, Mohamed
Conference NameICC 2021 - IEEE International Conference on Communications
Date Publishedjun
Keywords6LoWPAN, composability, DODAG routing tree, Dynamic scheduling, Heuristic algorithms, Internet of Things, IoT, pubcrawl, Resiliency, resource allocation, Resource management, Routing, routing resources, RPL, sensing resources, Sensors, Virtual groups, virtualization, VSN
AbstractIoT applications are quickly evolving in scope and objectives while their focus is being shifted toward supporting dynamic users' requirements. IoT users initiate applications and expect quick and reliable deployment without worrying about the underlying complexities of the required sensing and routing resources. On the other hand, IoT sensing nodes, sinks, and gateways are heterogeneous, have limited resources, and require significant cost and installation time. Sensing network-level virtualization through virtual Sensing Networks (VSNs) could play an important role in enabling the formation of virtual groups that link the needed IoT sensing and routing resources. These VSNs can be initiated on-demand with the goal to satisfy different IoT applications' requirements. In this context, we present a joint algorithm for IoT Sensing Resource Allocation with Dynamic Resource-Based Routing (SRADRR). The SRADRR algorithm builds on the current distinguished empowerment of sensing networks using recent standards like RPL and 6LowPAN. The proposed algorithm suggests employing the RPL standard concepts to create DODAG routing trees that dynamically adapt according to the available sensing resources and the requirements of the running and arriving applications. Our results and implementation of the SRADRR reveal promising enhancements in the overall applications deployment rate.
DOI10.1109/ICC42927.2021.9500987
Citation Keyalshiab_virtual_2021