25 September 2007 A force-driven mobility control algorithm for joint coverage: connectivity optimization in heterogeneous wireless networks
Author Affiliations +
Proceedings Volume 6709, Free-Space Laser Communications VII; 67090I (2007); doi: 10.1117/12.739120
Event: Optical Engineering + Applications, 2007, San Diego, California, United States
Next generation wireless networks are increasingly complex in terms of their heterogeneity (terminal, edge and backbone nodes; directional and omnidirectional wireless links) and dynamic behavior (node mobility, atmospheric obscuration, fading). Modeling such complex systems is becoming a very challenging and cumbersome mathematical problem. This paper proposes a novel physics-based approach to the modeling, characterization and control of complex wireless networks. Heterogeneous wireless networks are modeled as physical systems where nodes are represented as particles and communication links as attraction forces between them. Forces are defined based on network connectivity and include the effects of link distance, link directivity and atmospheric obscuration. The network energy usage is used as a cost function that is shown to be related to the potential energy of the analogous physical system. We formulate the joint coverage-connectivity optimization problem in backbone-based wireless networks as an energy minimization problem and present a mobility control algorithm that mimics the natural reaction of a physical system to minimize potential energy driven by local forces exerted on network nodes. Our mobility control algorithm is shown to be completely distributed, scalable and self-organized. Initial results show the efficiency of our mobility control approach to autonomously adjust the position of controlled backbone nodes in order to optimize coverage and connectivity in dynamic scenarios.
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Jaime Llorca, Stuart D. Milner, Christopher C. Davis, "A force-driven mobility control algorithm for joint coverage: connectivity optimization in heterogeneous wireless networks", Proc. SPIE 6709, Free-Space Laser Communications VII, 67090I (25 September 2007); doi: 10.1117/12.739120; https://doi.org/10.1117/12.739120


Systems modeling

Control systems

Atmospheric particles

Optimization (mathematics)

Atmospheric physics

Mathematical modeling

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