Integrated topology control and routing in wireless optical mesh networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Autonomous reconfiguration and control in directional mobile ad hoc networks
IEEE Circuits and Systems Magazine
Design and optimization of a tiered wireless access network
INFOCOM'10 Proceedings of the 29th conference on Information communications
MILCOM'09 Proceedings of the 28th IEEE conference on Military communications
On how to circumvent the MANET scalability curse
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
Topology and routing optimization for congestion minimization in optical wireless networks
Optical Switching and Networking
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This research focuses on the physical and logical control and reconfigurability of network topologies through intelligent and dynamic rearrangement of nodes in an optical wireless sensor network. We address high data rate sensor networks (e.g., infrastructure monitoring; surveillance), which consist of gigabit per second, narrow beam, free-space optical links between fixed and/or mobile nodes. In our approach, the seamless operation of such networks requires maintenance of wireless link connectivity and quality and at all times, amidst, for example, changing atmospheric, and traffic and platform conditions. This is achieved by dynamic reconfiguration through topology control. We address the problem of dynamic formulation of topologies, which contain only two transceivers per communications node or switch. The task of reconfiguration requires the formation of a biconnected graph or a ring topology. The problem is similar to the traveling salesman problem and is NP complete. We address the mixed integer programming formulation of this problem, and show that it does not scale even for a small network. We then focus on heuristics for dynamic, autonomous reconfiguration. Using simulations, we investigate tradeoff between solution quality and computational time. We also investigate the effectiveness of these dynamic reconfiguration heuristics compared to fixed, degraded topologies.