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Linear network optimization: algorithms and codes
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Power-aware routing in mobile ad hoc networks
MobiCom '98 Proceedings of the 4th annual ACM/IEEE international conference on Mobile computing and networking
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STOC '04 Proceedings of the thirty-sixth annual ACM symposium on Theory of computing
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FOCS '04 Proceedings of the 45th Annual IEEE Symposium on Foundations of Computer Science
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A novel load balancing algorithm in IEEE 802.11 wireless LANs with cell breathing
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Integrated control platform with load balancing algorithm in hybrid optical wireless networks
NTMS'09 Proceedings of the 3rd international conference on New technologies, mobility and security
MPCP assisted power control and performance of cell breathing in integrated EPON-WiMAX network
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
A Socratic method for validation of measurement-based networking research
Computer Communications
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Computers and Electrical Engineering
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Computers and Electrical Engineering
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Wireless LAN administrators often have to deal with the problem of sporadic client congestion in popular locations within the network. Existing approaches that relieve congestion by balancing the traffic load are encumbered by the modifications that are required to both access points and clients. We propose Cell Breathing, a well-known concept in cellular telephony, as a load balancing mechanism to handle client congestion in a wireless LAN. We develop power management algorithms for controlling the coverage of access points to handle dynamic changes in client workloads. We further incorporate hand-off costs and manufacturer specified power level constraints into our algorithms. Our approach does not require modification to clients or to the standard. It only changes the transmission power of beacon packets and does not change the transmission power of data packets to avoid the interactions with auto-rating. We analyze the worst-case bounds of the algorithms and show that they are either optimal or close to optimal. In addition, we evaluate our algorithms empirically using synthetic and real wireless LAN traces. Our results show that cell breathing significantly outperforms the commonly used fixed power scheme and performs at par with sophisticated load balancing schemes that require changes to both the client and access points.