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Broadcasting in multi-radio multi-channel wireless networks using simplicial complexes
Authors:Wei Ren  Qing Zhao  Ram Ramanathan  Jianhang Gao  Ananthram Swami  Amotz Bar-Noy  Matthew P. Johnson  Prithwish Basu
Affiliation:1. Microsoft Corporation, Redmond, WA, USA
2. Department of Electrical and Computer Engineering, University of California, Davis, CA, USA
3. Raytheon BBN Technologies, Cambridge, MA, USA
4. Army Research Laboratory, Adelphi, MD, USA
5. Department of Computer Science, City University of New York, New York City, NY, USA
6. Department of Computer Science and Engineering, Pennsylvania State University, Philadelphia, PA, USA
Abstract:We consider the broadcasting problem in multi-radio multi-channel ad hoc networks. The objective is to minimize the total cost of the network-wide broadcast, where the cost can be of any form that is summable over all the transmissions (e.g., the transmission and reception energy, the price for accessing a specific channel). Our technical approach is based on a simplicial complex model that allows us to capture the broadcast nature of the wireless medium and the heterogeneity across radios and channels. Specifically, we show that broadcasting in multi-radio multi-channel ad hoc networks can be formulated as a minimum spanning problem in simplicial complexes. We establish the NP-completeness of the minimum spanning problem and propose two approximation algorithms with order-optimal performance guarantee. The first approximation algorithm converts the minimum spanning problem in simplical complexes to a minimum connected set cover (MCSC) problem. The second algorithm converts it to a node-weighted Steiner tree problem under the classic graph model. These two algorithms offer tradeoffs between performance and time-complexity. In a broader context, this work appears to be the first that studies the minimum spanning problem in simplicial complexes and weighted MCSC problem.
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