1. POSTER TEMPLATE BY: www.PosterPresentations.com Glasgow Mobility Model for Mobile Ad Hoc Networks Sarah Al-Humoud, Lewis M. Mackenzie and Wim Vanderbauwhede University of Glasgow, Glasgow, G12 8RZ, U.K. Email: {sara, lewis, wim}@dcs.gla.ac.uk MANET References MANETs Evaluation techniques There are four available techniques to evaluate MANETs performance. Namely: analytical modelling, network simulation, real-world measurements and network emulation. [1] A mobility model is a core component in mobile network simulations. It mainly describes node movements, location and velocity over time. This description feeds the network simulation in a form of a trace file. Mobility models could be categorised according to node movements into independent and group mobility models [2]. Examples to the former category are random walk, random way point and markov mobility models. Reference Point Group Mobility is an example of the later. Mobility Models A MANET (Mobile Ad Hoc Network) consists of a set of mobile nodes communicating in a multi-hop way without any fixed infrastructure such as access points or base stations. Characteristics of MANET  No centralized control & administration  Self-organizing and self-restoring  Transmission through multiple hops  Frequent link breakage and change of network topology Applications of MANET  Battlefield communication  Sensor networks  Personal area networking using PDAs, laptops and handphones, etc  Cellular network and wireless Hot Spot extension MANETs Evaluation Techniques Measurement Analytical modelling Emulation Simulation Manhattan mobility model Analytical Modelling Emulation Measurement Simulation Glasgow Mobility Model Analytical modeling require a small time with low cost. However, it has low salability as well. Measurements are possible if something similar to the proposed system already exists. This is a hybrid approach between simulations and measurements [3]. Simulation is convenient for its low cost compared to measurement. It has a medium realism that comes between analytical modelling and measurement. Moreover, simulation results are suspicious until validated. Glasgow Mobility Model uses a grid road topology and is based on the existing Manhattan mobility model. It tries to solve two problems in the Manhattan model. The problems are. Firstly, it permits car stacking, that is, no maximum cars capacity per lane, Figure 2. Second when a car reaches the end of a lane it starts again at the beginning of that lane. Both problems are results of synthetic over-simplification that drives the simulation away from reality and meaningfulness. In Glasgow mobility model we aim at solving those two problems. Our mobility model assumes Glasgow city center map, Figure 3, as a base map with nine horizontal and ten vertical streets. Figure 1: MANETs Evaluation techniques Figure 2: Car staking problem in Manhattan Mobility model [1] R. Jain, The art of computer systems performance analysis : techniques for experimental design, measurement, simulation, and modeling. New York: Wiley, 1991. [2] F. Bai and A. Helmy, "A SURVEY OF MOBILITY MODELS in Wireless Adhoc Networks," in Wireless Ad Hoc and Sensor Networks: Kluwer Academic Publishers, 2004. [3] M. Kropff, T. Krop, M. Hollick, P. S. Mogre, and R. Steinmetz, "A Survey of Real-world and Emulation Testbeds for Mobile Ad hoc Networks," presented at 2nd International Conference on In Testbeds and Research Infrastructures for the Development of Networks and Communities, 2006. In Manhattan mobility model, mobile nodes move in two directions either horizontal or vertical direction on a map. The Manhattan model employs a probabilistic approach in the selection of nodes movements. At each intersection, a vehicle chooses to keep moving in the same direction, take a left turn or a right turn. Though the Manhattan mobility model is a step forward towards realism it suffers from two main problems that are stated in the next section. Figure 2 illustrates the first problem which is the car stacking problem, with the coloured cars showing the exact problem. Figure 3: Glasgow city center simplified map Department of Computing Science