An Energy-Efficient Collaborative Scheme for UAVs and VANETs for Dissemination of Real-Time Surveillance Data on Highways

In addition to military applications, Unmanned Aerial Vehicles (UAVs) are now finding their ways in civilian and public domains. Surveillance of highways with the use of a helicopter is a costly option that could be replaced with a more economical option of UAVs. Unlike MANETs in general and VANETs in particular, UAV networks have unique characteristics due to the association of factors like dynamic topology, high mobility, and limited energy. Keeping in view the real-time aspect of road surveillance, the use of UAVs with the existing routing protocols is not a straight forward option. A fleet of drones en route to surveillance on the highways may face frequent link failures due to its dynamical sparse linear architecture. To compensate for the sparse topology, a collaboration of UAVs with VANETs might be a good choice but as such integration of the two networks could create too much overhead. In this article, a proactive energy-efficient and reliable Collaborative scheme between UAVs and VANETs, termed as CUV, is presented. To avoid flooding in the entire network, Base station Association Messages (BAM), in a unicast manner, are forwarded till the end-nodes. Although BAM is received by each node which ensures connectivity with the BS but only certain nodes are allowed to retransmit. Furthermore, to take care of the loss of BAM messages due to the presence of hidden nodes, a novel mechanism for link repair inside a BAM interval is introduced. The proposed scheme is simulated in Network-Simulator-2 and compared with the well known proactive OLSR and reactive AODV protocols.

[1]  David A. Maltz,et al.  The Dynamic Source Routing Protocol (DSR) for Mobile Ad Hoc Networks for IPv4 , 2007, RFC.

[2]  Ozgur Koray Sahingoz,et al.  Networking Models in Flying Ad-Hoc Networks (FANETs): Concepts and Challenges , 2013, Journal of Intelligent & Robotic Systems.

[3]  Mario Gerla,et al.  Global state routing: a new routing scheme for ad-hoc wireless networks , 1998, ICC '98. 1998 IEEE International Conference on Communications. Conference Record. Affiliated with SUPERCOMM'98 (Cat. No.98CH36220).

[4]  Yonggang Wen,et al.  “ A Survey of Software Defined Networking , 2020 .

[5]  Tariq A. A. Alsboui,et al.  Simulation Issues in Wireless Sensor Networks : A Survey , 2012 .

[6]  Lav Gupta,et al.  Survey of Important Issues in UAV Communication Networks , 2016, IEEE Communications Surveys & Tutorials.

[7]  Mikko Sallinen,et al.  Survey of Wireless Sensor Networks Simulation Tools for Demanding Applications , 2009, 2009 Fifth International Conference on Networking and Services.

[8]  Ilker Bekmezci,et al.  Flying Ad-Hoc Networks (FANETs): A survey , 2013, Ad Hoc Networks.

[9]  Bruce L. Golden,et al.  Optimization approaches for civil applications of unmanned aerial vehicles (UAVs) or aerial drones: A survey , 2018, Networks.

[10]  Rostam Shirani,et al.  Combined Reactive-Geographic routing for Unmanned Aeronautical Ad-hoc Networks , 2012, 2012 8th International Wireless Communications and Mobile Computing Conference (IWCMC).

[11]  Zygmunt J. Haas,et al.  The zone routing protocol (zrp) for ad hoc networks" intemet draft , 2002 .

[12]  Nathalie Mitton,et al.  How to choose an experimentation platform for wireless sensor networks? A survey on static and mobile wireless sensor network experimentation facilities , 2015, Ad Hoc Networks.

[13]  Timothy X. Brown,et al.  Ad hoc UAV-Ground Network (AUGNet) Test Bed , 2004 .

[14]  Robert Shorten,et al.  Adaptive tuning of drop-tail buffers for reducing queueing delays , 2006, IEEE Communications Letters.

[15]  Charles E. Perkins,et al.  Ad hoc On-Demand Distance Vector (AODV) Routing , 2001, RFC.

[16]  Han-Chieh Chao,et al.  Black Hole along with Other Attacks in MANETs: A Survey , 2018, J. Inf. Process. Syst..

[17]  David A. Maltz,et al.  Dynamic Source Routing in Ad Hoc Wireless Networks , 1994, Mobidata.

[18]  Mario Gerla,et al.  Fisheye State Routing in Mobile Ad Hoc Networks , 2000, ICDCS Workshop on Wireless Networks and Mobile Computing.

[19]  Manoj Kumar Tiwari,et al.  A Survey of Simulation in Sensor Networks , 2008, 2008 International Conference on Computational Intelligence for Modelling Control & Automation.

[20]  Bill Canis Unmanned Aircraft Systems (UAS): Commercial Outlook for a New Industry , 2015 .

[21]  H. T. Kung,et al.  Maximizing Throughput of UAV-Relaying Networks with the Load-Carry-and-Deliver Paradigm , 2007, 2007 IEEE Wireless Communications and Networking Conference.

[22]  Guangjie Han,et al.  Routing Protocols for Unmanned Aerial Vehicles , 2018, IEEE Communications Magazine.

[23]  Charles E. Perkins,et al.  Highly dynamic Destination-Sequenced Distance-Vector routing (DSDV) for mobile computers , 1994, SIGCOMM.