Artificial noise aided scheme to secure UAV-assisted internet of things with wireless power transfer
- Authors: Wang, Qubeijian , Dai, Hong-Ning , Li, Xuran , Shukla, Mahendra , Imran, Muhammad
- Date: 2020
- Type: Text , Journal article
- Relation: Computer Communications Vol. 164, no. (2020), p. 1-12
- Full Text: false
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- Description: The proliferation of massive Internet of Things (IoT) devices poses research challenges especially in unmanned aerial vehicles(UAV)-assisted IoT. In particular, the limited battery capacity not only restricts the life time of UAV-assisted IoT but also brings security vulnerabilities since computation-complex cryptographic algorithms cannot be adopted in UAV-assisted IoT systems. In this paper, artificial noise and wireless power transfer technologies are integrated to secure communications in UAV-assisted IoT (particularly in secret key distribution). We present the artificial noise aided scheme to secure UAV-assisted IoT communications by letting UAV gateway transfer energy to a number of helpers who will generate artificial noise to interfere with the eavesdroppers while the legitimate nodes can decode the information by canceling additive artificial noise. We introduce the eavesdropping probability and the security rate to validate the effectiveness of our proposed scheme. We further formulate an eavesdropping probability constrained security rate maximization problem to investigate the optimal power allocation. Moreover, analytical and numerical results are provided to obtain some useful insights, and to demonstrate the effect of crucial parameters (e.g., the transmit power, the main channel gain) on the eavesdropping probability, the security rate, and the optimal power allocation. © 2020 Elsevier B.V.
Unmanned aerial vehicle for internet of everything : opportunities and challenges
- Authors: Liu, Yalin , Dai, Hong-Ning , Wang, Qubeijian , Shukla, Mahendra , Imran, Muhammad
- Date: 2020
- Type: Text , Journal article , Review
- Relation: Computer Communications Vol. 155, no. (2020), p. 66-83
- Full Text:
- Reviewed:
- Description: The recent advances in information and communication technology (ICT) have further extended Internet of Things (IoT) from the sole “things” aspect to the omnipotent role of “intelligent connection of things”. Meanwhile, the concept of internet of everything (IoE) is presented as such an omnipotent extension of IoT. However, the IoE realization meets critical challenges including the restricted network coverage and the limited resource of existing network technologies. Recently, Unmanned Aerial Vehicles (UAVs) have attracted significant attentions attributed to their high mobility, low cost, and flexible deployment. Thus, UAVs may potentially overcome the challenges of IoE. This article presents a comprehensive survey on opportunities and challenges of UAV-enabled IoE. We first present three critical expectations of IoE: (1) scalability requiring a scalable network architecture with ubiquitous coverage, (2) intelligence requiring a global computing plane enabling intelligent things, (3) diversity requiring provisions of diverse applications. Thereafter, we review the enabling technologies to achieve these expectations and discuss four intrinsic constraints of IoE (i.e., coverage constraint, battery constraint, computing constraint, and security issues). We then present an overview of UAVs. We next discuss the opportunities brought by UAV to IoE. Additionally, we introduce a UAV-enabled IoE (Ue-IoE) solution by exploiting UAVs's mobility, in which we show that Ue-IoE can greatly enhance the scalability, intelligence and diversity of IoE. Finally, we outline the future directions in Ue-IoE. © 2020 Elsevier B.V.