Flying Ad Hoc Networks (FANETs)

IET indexes its books and journal in SCOPUS and IEEE Xplore.
Computer Vision (CV) and Sensors play a decisive role in the operation of Unmanned Aerial Vehicle (UAV), but there exists a void when it comes to analysing the extent of their impact on the entire UAV system. In general, the fact that a UAV is a Cyber-Physical System (CPS) is not taken into account. In this proposal, we propose to expand on earlier books covering the use of CV and sensing in UAVs. Among other things, an entirely autonomous UAV can help to (i) obtain information about the environment, (ii) work for an extended period of time without human interference, (iii) move either all or part of itself all over its operating location devoid of human help and (iv) stay away from dangerous situations for people and their possessions. A Vision System (VS) entails the way CV data will be utilized, the appropriate architecture for total avionics integration, the control interfaces, and the UAV operation. Since the VS core is its sensors and cameras, multi-sensor fusion, navigation, hazard detection, and ground correlation in real time are important operational aspects that can benefit from CV knowledge and technology. This book will aim to collect and shed some light on the existing information on CV software and hardware for UAVs as well as pinpoint aspects that need additional thinking. It will list standards and a set of prerequisites (or lack of them thereof) when it comes to CV deployment in UAVs. The issue of data fusion takes a centre place when the book explores ways to deal with sensor data and images as well as their integration and display. The best practices to fuse image and sensor information to enhance UAV performance by means of CV can greatly improve all aspects of the corresponding CPS. The CPS viewpoint can improve the way UAVs interact with the Internet of Things (IoT), use cloud computing, meet communications requirements, implement hardware/software paradigms necessary to handle video streaming, incorporate satellite data, and combine CV with Virtual/Augmented Realities.

VOLUME 1-CONTROL AND PERFORMANCE: This tome explores how sensors and computer vision technologies are used in unmanned aerial vehicles for the navigation, control, stability, reliability, guidance, fault detection, self-maintenance, strategic replanning and reconfiguration of the entire system. It helps analyse the manner UAVs interact with the Internet of Things (IoT), use cloud computing, meet communications requirements, implement hardware/software paradigms necessary to handle still imagery, video streaming, incorporate satellite data, and combine computer vision with virtual/augmented realities (VR/AR).NB: This is planned to be the companion volume of Estrela, Hemanth, Saotome (Eds) / Imaging and Sensing for Unmanned Aerial Vehicles: Volume 2-Deployment and Applications

From the radar and military research world's, the Ultra-WideBand Impulse Radio (UWB-IR) was adopted in the telecommunications world in the 1990'. Currently, the UWB-IR technology is an interesting candidate for close range Wireless Sensors Networks (WSNs). It is particularly attractive for industrial sensor networks due to its resilience to multipath interference, simple transceiver circuitry, accurate ranging ability, and low transmission power. In order to secure data and communications in the Ad-Hoc UWB-IR networks, UWB-IR requires suitable encryption protocols. In this paper, we review and summarize the IEEE 802.15.4 security sub-layer protocol of UWB-IR based Symmetric Key Cryptography scheme. Then, we highlight the different vulnerabilities and weaknesses present in this type of scheme. Finally, we prove, after a deep examination of multiple Public Key Cryptography (PKC) schemes, that the certificateless one is the most suitable for Ad-Hoc UWB-IR networks characterized by nodes mobility. Indeed, we have also evaluated and analyzed the different public key cryptosystems (PKCS) and concluded that NTRU is the most optimum public key cryptosystem to be used with the certificateless scheme in order to secure data and communications in Ad-Hoc UWB-IR Networks. This is due to the fact that it is the fastest PKCS to provide different security levels at a high speed with very constrained resources.

Now a days, Flying ad hoc network (FANET) as a trending wireless classification has a vibrant area of research. FANET architecture can also be viewed as a special form of a distributed system in which unmanned aerial vehicles are the nodes with highly dynamic behavior in terms of their mobility. Now, resource allocation problem is always a concern in distributed architecture, so as in FANET. The concept of mutual exclusion plays a vital role and ensures the access of shared resources in a mutual access manner by the nodes running on different processors. Through this research work, we modeled FANET as an application of a dynamic graph by applying its properties and propose a token-based resource allocation algorithm in FANET to achieve distributed mutual exclusion. We have used Neo4j as a graph database to model our work and present better results in terms of various performance metrics as compared to existing work in FANET till date.

Mutual exclusion is a well-studied topic in distributed systems. A distributed system with the duplicate copy of resources can increase throughput by allowing many processes to call their critical sections simultaneously through parallel execution. Because of the ongoing development of wireless technologies and dynamic networks such as mobile ad hoc networks, they are becoming increasingly complicated and varied in today's world. Flying ad hoc network (FANET), as a special variant of mobile ad hoc network, has nodes in which the cooperation and collaboration are highly dynamic and unpredictable in nature. In FANET, resources are mounted on an unmanned aerial vehicle (UAV) which can operate remotely with a flying capacity in the air without any human personnel. Various protocols as distributed mutual exclusion algorithms have been proposed as a solution to the mutual exclusion problem in a distributed system. To the best of our knowledge, such algorithms in FANETs haven't been exposed much and moreover through this paper, we present a novel token-based k mutual exclusion algorithm as mutual exclusion algorithm for flying network-multi UAV with its correctness proof and fault handling capabilities. To improve overall throughput as compared to single-UAV FANET, our approach works in a multi resource occupied flying environment and allows k duplicated resources mounted on available UAVs that facilitate processes at most k to invoke their critical sections simultaneously. This solution is also fault-tolerant to UAV failure in the system, whereas in single-UAV FANET, this considers a failure of the entire system. We have also presented simulation results for our algorithm with range of 5-20 resource-equipped UAVs architecture support that indicate more efficient results for performance throughput metric.

Now a days, Flying ad hoc network (FANET) as a trending wireless classification has a vibrant area of research. FANET architecture can also be viewed as a special form of a distributed system in which unmanned aerial vehicles are the nodes with highly dynamic behavior in terms of their mobility. Now, resource allocation problem is always a concern in distributed architecture, so as in FANET. The concept of mutual exclusion plays a vital role and ensures the access of shared resources in a mutual access manner by the nodes running on different processors. Through this research work, we modeled FANET as an application of a dynamic graph by applying its properties and propose a token-based resource allocation algorithm in FANET to achieve distributed mutual exclusion. We have used Neo4j as a graph database to model our work and present better results in terms of various performance metrics as compared to existing work in FANET till date.