Next Article in Journal
Graphene/Epoxy Coating as Multifunctional Material for Aircraft Structures
Previous Article in Journal
Transmit Energy Efficiency of Two Cognitive Radar Platforms for Target Identification
Previous Article in Special Issue
A Comparison of Closed-Loop Performance of Multirotor Configurations Using Non-Linear Dynamic Inversion Control
Open AccessArticle

Unmanned Aerial ad Hoc Networks: Simulation-Based Evaluation of Entity Mobility Models’ Impact on Routing Performance

Systems and Computer Engineering, Carleton University, 1125 Colonel By Drive, Ottawa, ON K1S 5B6, Canada
Communications Research Centre Canada, 3701 Carling Avenue, PO Box 11490, Station H, Ottawa, ON K2H 8S2, Canada
Author to whom correspondence should be addressed.
Academic Editor: David Anderson
Aerospace 2015, 2(3), 392-422;
Received: 18 February 2015 / Revised: 4 May 2015 / Accepted: 17 June 2015 / Published: 30 June 2015
(This article belongs to the Special Issue Unmanned Aerial Systems 2015)
An unmanned aerial ad hoc network (UAANET) is a special type of mobile ad hoc network (MANET). For these networks, researchers rely mostly on simulations to evaluate their proposed networking protocols. Hence, it is of great importance that the simulation environment of a UAANET replicates as much as possible the reality of UAVs. One major component of that environment is the movement pattern of the UAVs. This means that the mobility model used in simulations has to be thoroughly understood in terms of its impact on the performance of the network. In this paper, we investigate how mobility models affect the performance of UAANET in simulations in order to come up with conclusions/recommendations that provide a benchmark for future UAANET simulations. To that end, we first propose a few metrics to evaluate the mobility models. Then, we present five random entity mobility models that allow nodes to move almost freely and independently from one another and evaluate four carefully-chosen MANET/UAANET routing protocols: ad hoc on-demand distance vector (AODV), optimized link state routing (OLSR), reactive-geographic hybrid routing (RGR) and geographic routing protocol (GRP). In addition, flooding is also evaluated. The results show a wide variation of the protocol performance over different mobility models. These performance differences can be explained by the mobility model characteristics, and we discuss these effects. The results of our analysis show that: (i) the enhanced Gauss–Markov (EGM) mobility model is best suited for UAANET; (ii) OLSR, a table-driven proactive routing protocol, and GRP, a position-based geographic protocol, are the protocols most sensitive to the change of mobility models; (iii) RGR, a reactive-geographic hybrid routing protocol, is best suited for UAANET. View Full-Text
Keywords: mobility models; routing; UAANET; UAV mobility models; routing; UAANET; UAV
Show Figures

Graphical abstract

MDPI and ACS Style

Medjo Me Biomo, J.-D.; Kunz, T.; St-Hilaire, M.; Zhou, Y. Unmanned Aerial ad Hoc Networks: Simulation-Based Evaluation of Entity Mobility Models’ Impact on Routing Performance. Aerospace 2015, 2, 392-422.

Show more citation formats Show less citations formats

Article Access Map by Country/Region

Only visits after 24 November 2015 are recorded.
Back to TopTop