ABSTRACT
Flying Ad-hoc Networks creates rapid topology changes that causes routing problems between Unmanned Aerial Vehicle and ground base station. Mobile Ad-hoc networks and Vehicular Ad-hoc network protocols are conventionally adopted to overcome routing issues. But Still, they do not fully address the routing problem in Flying Ad-hoc Networks. In this paper, Fisheye state routing protocol is implemented and evaluated to fully overcome routing issues in a Flying Ad-hoc Network and fully utilize the limited resource of Unmanned Aerial Vehicles. Performance evaluation is measured in terms of throughput, average end-to-end delay, packet drop analysis as congestion measure with Ad-Hoc On-Demand Distance Vector (AODV), Distance Sequence Distance Vector (DSDV), Optimized Link State Routing (OLSR), Temporary Ordered Routing Protocol (TORA) and Dynamic Source Routing (DSR). Fisheye state routing protocol showed promising results regarding throughput, packet drop rate, and average end-to-end delay compared with traditional protocols. Moreover, with the suggested improvement of the parameters, network lifetime is increased, and resources harvesting becomes under control.
- 2005. full scale wireless ad hoc network test bed.Google Scholar
- Kalpna Guleria and Anil Kumar Verma. 2019. Comprehensive review for energy efficient hierarchical routing protocols on wireless sensor networks. Wireless Networks (2019), 1159–1183.Google ScholarDigital Library
- Evşen Yanmaz Hayat, Samira and Raheeb Muzaffar.2016. Survey on unmanned aerial vehicle networks for civil applications: A communications viewpoint. IEEE Communications Surveys & Tutorials 18, 4 (2016), 2624–2661.Google ScholarDigital Library
- IEEE 2000. Fisheye state routing: A routing scheme for ad hoc wireless networks. Vol. 1. IEEE.Google Scholar
- IEEE 2015. On the routing in flying ad hoc networks. IEEE.Google Scholar
- IEEE 2017. Flying ad-hoc networks (FANETs): A review of communication architectures, and routing protocols. IEEE.Google Scholar
- Ijaz Mansoor Qureshi Muhammad Adnan Aziz Tanweer Ahmad Cheema Khan, Inam Ullah and Syed Bilal Hussain Shah.2020. Smart IoT control-based nature inspired energy efficient routing protocol for flying ad hoc network (FANET). IEEE Access8(2020), 56371–56378.Google Scholar
- Inam Ullah Khan Alamgir Safi Khan, Muhammad Asghar and Ijaz Mansoor Quershi. 2018. Dynamic routing in flying ad-hoc networks using topology-based routing protocols. Drones 2, 3 (2018).Google Scholar
- Fernando Caballero Jesús Capitán José Ramiro Martínez-de-Dios Maza, Iván and Aníbal Ollero. 2011. Experimental results in multi-UAV coordination for disaster management and civil security applications.ournal of intelligent & robotic systems 61, 1 (2011), 563–585.Google Scholar
- Fernando Caballero J. Ramiro Martínez-de-Dios-Iván Maza Merino, Luis and Aníbal Ollero. 2012. An unmanned aircraft system for automatic forest fire monitoring and measurement. Journal of Intelligent & Robotic Systems 65, 1 (2012), 533–548.Google ScholarDigital Library
- Tarik Taleb Motlagh, Naser Hossein and Osama Arouk.2016. Low-altitude unmanned aerial vehicles-based internet of things services: Comprehensive survey and future perspectives. IEEE Internet of Things Journal 3, 6 (2016), 899–922.Google ScholarCross Ref
- Husnain Mansoor Ali Nawaz, Haque and Asif Ali Laghari. 2020. UAV communication networks issues: a review. Archives of Computational Methods in Engineering (2020), 1–21.Google Scholar
- V. Park and S Corson. 2001. Temporally Ordered Routing Algorithm (TORA). draft-ietf-manet-tora-spec-04. txt. Work in progress. IETF (2001).Google Scholar
- Belding-Royer E. Perkins, C. and S Das. 2003. Ad hoc on-demand distance vector (AODV) routing. RFC3561 (2003).Google ScholarDigital Library
- Xuetian Zhu Ge Mang Michel Kadoch Qi, Feiand Wei Li.2019. UAV network and IoT in the sky for future smart cities. EEE Network 33, 2 (2019), 96–101.Google Scholar
- Ozgur Koray Sahingoz. 2014. Networking models in flying ad-hoc networks (FANETs): Concepts and challenges. Journal of Intelligent & Robotic Systems 74, 1 (2014), 513–527.Google ScholarDigital Library
- Ahmad H. Sawalmeh Ala Al-Fuqaha-Zuochao Dou Eyad Almaita Issa Khalil Noor Shamsiah Othman Abdallah Khreishah Shakhatreh, Hazim and Mohsen Guizani. 2017. Unmanned aerial vehicles (UAVs): A survey on civil applications and key research challenges. IEEE Access 7(2017), 48572–48634.Google Scholar
- Vijander Singh Thakrar, Payal M. and Ketan Kotecha.2020. Improved route selection algorithm based on TORA over mobile adhoc network. Journal of Discrete Mathematical Sciences and Cryptography 23, 2(2020).Google ScholarCross Ref
- Haijun Wang Weiyu Wu Zhao, Haitao and Jibo Wei. 2018. Deployment algorithms for UAV airborne networks toward on-demand coverage. IEEE Journal on Selected Areas in Communications 36, 9(2018), 2015–2031.Google ScholarDigital Library
- Danwei Wang Zhu, Senqiang and Chang Boon Low.2013. Ground target tracking using UAV with input constraints. Journal of Intelligent & Robotic Systems 69, 1 (2013), 417–429.Google ScholarDigital Library
Index Terms
- Unmanned Aerial Vehicles Routing Formation Using Fisheye State Routing for Flying Ad-hoc Networks
Recommendations
Performance Evaluation of Hybrid Routing Protocols in Mobile Ad Hoc Networks
ACCT '12: Proceedings of the 2012 Second International Conference on Advanced Computing & Communication TechnologiesMobile ad hoc network is a collection of wireless mobile nodes that creates a dynamically wireless network among them without using any fixed infrastructure. Nodes are mobile and free to move, independent of each other which makes routing much ...
An Enhanced AODV Routing Protocol for Vehicular Adhoc Networks
BDAW '16: Proceedings of the International Conference on Big Data and Advanced Wireless TechnologiesThe key difference of Vehicular Ad- hoc Network (VANET) and Mobile Ad-hoc Network (MANET) is the exceptional mobility pattern and quick variability variable of network topology. The existing MANET routing protocols are inadequate for the VANET. One good ...
An enhanced approach to determine connected dominating sets for routing in mobile ad hoc networks
A mobile ad hoc network is a collection of wireless mobile nodes forming a temporary network without the support of any established infrastructure or centralised administration. Mobile ad hoc networks face a lot of challenges for designing a scalable ...
Comments