Abstract
In this work, we investigate the application of an adapted controlled mobility strategy on self-propelling nodes, which could efficiently provide network resource to users scattered on a designated area. We design a virtual force-based controlled mobility scheme, named VFPc, and evaluate its ability to be jointly used with a dual packet-forwarding and epidemic routing protocol. In particular, we study the possibility for end-users to achieve synchronous communications at given times of the considered scenarios. On this basis, we study the delay distribution for such user traffic and show the advantages of VFPc compared to other packet-forwarding and packet-replication schemes, and highlight that VFPc-enabled applications could take benefit of both schemes to yield a better user experience, despite challenging network conditions.
Similar content being viewed by others
References
Sanou B (2015) ICT facts and figures 2015 international telecommunication union (ITU) fact sheet
Nelson CB, Steckler BD, Stamberger JA (2011) The evolution of hastily formed networks for disaster response: technologies, case studies, and future trends. In: IEEE global humanitarian techniques conference, vol 467–475, Seattle
Reynaud L, Rasheed T, Kandeepan S (2011) An integrated aerial telecommunications network that supports emergency traffic. In: 14th international wireless personal multimedia communications, Brest
Gomez K et al (2016) Aerial base stations with opportunistic links for next generation emergency communications. IEEE Commun Mag 54(4):31–39
Corson S, Macker J (1999) Mobile Ad hoc networking (MANET): routing protocol performance issues and evaluation considerations. RFC:2501
Reina DG et al (2015) A survey on multihop ad hoc networks for disaster response scenarios. Int J Distrib Sensor Networks 2015
Sassatelli L et al (2014) Reliable transport in delay-tolerant networks with opportunistic routing. IEEE Trans Wireless Com 13(10):5546–5557
Fall K (2003) A delay-tolerant network architecture for challenged internets. In: Proceedings of ACM SIGCOMM. Karlsruhe, Germany, p 2003
Li Y, Hui P, Jin D, Chen S (2015) Delay-tolerant network protocol testing and evaluation. IEEE Com Mag 53(1)
Spyropoulos T, Psounis K, Raghavendra CS (2005) Spray and wait: an efficient routing scheme for intermittently connected mobile networks. In: Proceedings of ACM workshop on delay-tolerant networking
Burgess J, Gallagher B, Jensen D, Levine BN (2006) Maxprop: routing for vehicle-based disruption-tolerant networks. In: IEEE INFOCOM, Barcelona
Balasubramanian A, Levine BN, Venkataramani A (2007) DTN Routing as a resource allocation problem. In: Proceedings of ACM SIGCOMM
Clausen T, Jacquet P RFC3626, Optimized link state routing protocol (OLSR). Experimental, http://www.ietf.org/rfc/rfc3626.txt
Alenazi MJF, Cheng Y, Zhang D, Sterbenz JPG (2015) Epidemic routing protocol implementation in ns-3. Workshop on ns-3, Barcelona
Ahmed B, Pota H, Garratt M (2008) Flight control of a Rotary wing UAV - a practical approach. In: IEEE Conference on decision and control, Cancun
Spears WM, Spears DF, Hamann JC, Heil R (2004) Distributed, physics-based control of swarms of vehicles. Auton Robots 17(2/3):137–162
Reynaud L, Guérin Lassous I (2016) Design of a force-based controlled mobility on aerial vehicles for pest management. Elsevier ad Hoc Netw J 53:41–52
Reynaud L, Guérin Lassous I (2016) Physics-based swarm intelligence for disaster relief communications. In: International conference on ad hoc net and wireless (AdHoc-Now), Lille
Zhao W, Ammar M, Zegura E (2005) Controlling the mobility of multiple data transport ferries in a delay-tolerant network. IEEE INFOCOM, Miami
Bin Tariq MM, Ammar M, Zegura E (2006) Message ferry route design for sparse ad hoc networks with mobile nodes. In: Proceedings of 7th ACM international symposium on mobile ad hoc networking and computing, Florence
Basagni S, et al. (2008) Controlled sink mobility for prolonging wireless sensor networks lifetime. Wireless Netw J 14(6):831– 858
Brambilla M, Ferrante E, Birattari M, Dorigo M (2013) Swarm robotics: a review from the swarm engineering perspective. Swarm Intell 7(1):1–41
Nouyan S, Campo A, Dorigo M (2008) Path formation in a robot swarm: self-organized strategies to find your way home. Swarm Intell 2(1):1–23
Sperati V, Trianni V, Nolfi S (2011) Self-organised path formation in a swarm of robots. Swarm Intell 5:97–119
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Reynaud, L., Guérin-Lassous, I. Improving the Performance of Challenged Networks with Controlled Mobility. Mobile Netw Appl 23, 1270–1279 (2018). https://doi.org/10.1007/s11036-017-0818-9
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11036-017-0818-9