Describing MANETS: principal component analysis of sparse mobility traces
Proceedings of the 3rd ACM international workshop on Performance evaluation of wireless ad hoc, sensor and ubiquitous networks
Modeling and Evaluation of the Effect of Obstacles on the Performance of Wireless Sensor Networks
ANSS '06 Proceedings of the 39th annual Symposium on Simulation
Simulating mobile ad hoc networks in city scenarios
Computer Communications
Realistic propagation simulation of urban mesh networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
MOMOSE: a mobility model simulation environment for mobile wireless ad-hoc networks
Proceedings of the 1st international conference on Simulation tools and techniques for communications, networks and systems & workshops
INES: network simulations on virtual environments
Proceedings of the 1st international conference on Simulation tools and techniques for communications, networks and systems & workshops
The ONE simulator for DTN protocol evaluation
Proceedings of the 2nd International Conference on Simulation Tools and Techniques
Modeling obstacles in INET/Mobility framework: motivation, integration, and performance
Proceedings of the 2nd International Conference on Simulation Tools and Techniques
SIMPS: using sociology for personal mobility
IEEE/ACM Transactions on Networking (TON)
A Cluster-Based Mobility Model for Intelligent Nodes
ICCSA '09 Proceedings of the International Conference on Computational Science and Its Applications: Part I
Modeling mobility in disaster area scenarios
Performance Evaluation
Simulating mission critical mobile ad hoc networks
Proceedings of the 4th ACM workshop on Performance monitoring and measurement of heterogeneous wireless and wired networks
Obstacle mobility model based on activity area in ad hoc networks
ICCSA'07 Proceedings of the 2007 international conference on Computational science and Its applications - Volume Part II
An environment-aware mobility model for wireless ad hoc network
Computer Networks: The International Journal of Computer and Telecommunications Networking
An integrated propagation model for VANET in urban scenario
Proceedings of the 6th International Wireless Communications and Mobile Computing Conference
Modeling and analysis of DTN in metropolitan bus network
Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication
A random obstacle-based mobility model for delay-tolerant networking
International Journal of Network Management
Modeling mobility with behavioral rules: the case of incident and emergency situations
AINTEC'06 Proceedings of the Second Asian international conference on Technologies for Advanced Heterogeneous Networks
Modeling human mobility in obstacle-constrained ad hoc networks
Ad Hoc Networks
SAGA: socially- and geography-aware mobility modeling framework
Proceedings of the 15th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems
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Simulation environments are an important tool for the evaluation of new concepts in networking. The study of mobile ad hoc networks depends on understanding protocols from simulations, before these protocols are implemented in a real-world setting. To produce a real-world environment within which an ad hoc network can be formed among a set of nodes, there is a need for the development of realistic, generic and comprehensive mobility, and signal propagation models. In this paper, we propose the design of a mobility and signal propagation model that can be used in simulations to produce realistic network scenarios. Our model allows the placement of obstacles that restrict movement and signal propagation. Movement paths are constructed as Voronoi tessellations with the corner points of these obstacles as Voronoi sites. Our mobility model also introduces a signal propagation model that emulates properties of fading in the presence of obstacles. As a result, we have developed a complete environment in which network protocols can be studied on the basis of numerous performance metrics. Through simulation, we show that the proposed mobility model has a significant impact on network performance, especially when compared with other mobility models. In addition, we also observe that the performance of ad hoc network protocols is effected when different mobility scenarios are utilized.