A group mobility model for ad hoc wireless networks
MSWiM '99 Proceedings of the 2nd ACM international workshop on Modeling, analysis and simulation of wireless and mobile systems
Scenario-based performance analysis of routing protocols for mobile ad-hoc networks
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
CAD-HOC: A CAD-Like Tool for Generating Mobility Benchmarks in Ad-Hoc Networks
SAINT '02 Proceedings of the 2002 Symposium on Applications and the Internet
Ad-hoc On-Demand Distance Vector Routing
WMCSA '99 Proceedings of the Second IEEE Workshop on Mobile Computer Systems and Applications
Graph-Based Mobility Model for Mobile Ad Hoc Network Simulation
SS '02 Proceedings of the 35th Annual Simulation Symposium
Towards realistic mobility models for mobile ad hoc networks
Proceedings of the 9th annual international conference on Mobile computing and networking
Enhancing routing performance for inter-vehicle communication in city environment
Proceedings of the ACM international workshop on Performance monitoring, measurement, and evaluation of heterogeneous wireless and wired networks
Simulating mission critical mobile ad hoc networks
Proceedings of the 4th ACM workshop on Performance monitoring and measurement of heterogeneous wireless and wired networks
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Simulation is the most important and widely used method in the research of Mobile Ad hoc NETworks (MANET). The topology of MANET and the mobility of mobile nodes are the key factors that have impact on the performance of protocols. However, most of the existing works are based on random movement, and the fact that the network topology is highly related to the environment of MANET is overlooked. In this paper, we propose a novel Environment-Aware Mobility (EAM) model which models a more realistic movement of mobile nodes. Environment objects such as Route and Hotspot, etc are introduced to represent the environment components by Scalable Vector Graphics (SVG). This model is considered to be a complex model with a combination of existing conventional mobility models and network environments. The results show that the intrinsic characteristics and properties of the environments have a significant influence on the performance of MANET protocols.