In this paper, we consider a new UAV-aided intelligent wireless sensing scheme where the UAVs are deployed for smart sensing and collecting data from Internet-of-Things (IoT) devices. In particular, we propose optimal UAVs' path planing approaches for minimising the completion time and total energy consumption of the UAVs' deployment for data collection. Two optimal schemes, namely optimal energy consumption by peer-topeer UAV-IoT sensing networks and optimal energy consumption by clustering UAV-IoT sensing networks, are considered. The lowcomplexity procedures of our advanced optimisation techniques are suitably applied to disaster relief networks when the solving time must be strictly adhered to. Our real-time optimisation algorithms result in low computational complexity with fast deployment and low processing time for solving the problem of tracking and gathering sensor data, i.e., in very short time (milliseconds). Through simulations results we demonstrate that our proposed approaches in UAV-aided intelligent IoT wireless sensing are suitable for time-critical mission applications such as emergency communications, public safety, and disaster relief networks.

No abstract

With the rapid emergence of the Internet of Things (IoT), the development of IoT architecture that facilitates network control and remote management is not only an interesting but also challenging research direction. Designing a systematic framework allowing to remotely (re)reprogram heterogeneous IoT devices requires stringent technical challenges on the interoperability, the scalability and the adaptability. Recently, software defined network (SDN)-based technologies have been considered as a dominant solution for the IoT network architecture. In this study, the authors firstly review current state-of-the-art approaches of SDN solutions and existing efforts on remote (re)programming IoT systems. The literature review figures out current leading-edge technologies on SDN-based solutions and over-the-air (OTA) reprogramming approaches in IoT systems as well as indicates the existing challenges that encourage conducting more and more appropriate solutions to fulfil the requirements of the future Internet. Then, a framework called SD-IoTR (software defined IoT reprogramming) is proposed. The proposed SD-IoTR framework is based on the SDN architecture and intensively focuses on OTA programming IoT systems. This framework is designed to deal with high demands for dynamic adaptability and scalability. Finally, two case studies are also presented as proofs-of-concept that convince the feasibility of applying the proposed framework to real-world deployments.

No abstract

No abstract