The Art of Molecular Dynamics Simulation
The Art of Molecular Dynamics Simulation
Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
Ad hoc Networking
Towards modeling realistic mobility for performance evaluations in MANET
ADHOC-NOW'10 Proceedings of the 9th international conference on Ad-hoc, mobile and wireless networks
Handbook of Mobile Ad Hoc Networks for Mobility Models
Handbook of Mobile Ad Hoc Networks for Mobility Models
Compressive Cooperative Sensing and Mapping in Mobile Networks
IEEE Transactions on Mobile Computing
FIT '11 Proceedings of the 2011 Frontiers of Information Technology
Optimization-based approach to path planning for closed chain robot systems
International Journal of Applied Mathematics and Computer Science
A software tool for federated simulation of wireless sensor networks and mobile ad hoc networks
PARA'10 Proceedings of the 10th international conference on Applied Parallel and Scientific Computing - Volume Part I
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This paper addresses issues concerned with design and managing of mobile ad hoc networks. We focus on self-organizing, cooperative and coherent networks that enable a continuous communication with a central decision unit and adopt to changes in an unknown environment to achieve a given goal. In general, it is very difficult to model a motion of nodes of a real-life ad hoc network. However, mobility modeling is a critical element that has great influence on the performance characteristics of a cooperative system. In this paper we investigate a novel approach to cooperative and fully connected networks design. We present an algorithm for efficient calculating of motion trajectories of wireless devices. Our computing scheme adopts two techniques, the concept of an artificial potential field and the concept of a particle-based mobility. The utility and efficiency of the proposed approach has been justified through simulation experiments. The results of presented case studies show a wide range of applications of our method starting from simple to more complex ad hoc networks.