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A unified energy-efficient topology for unicast and broadcast
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Source International Conference on Mobile Computing and Networking archive
Proceedings of the 11th annual international conference on Mobile computing and networking table of contents
Cologne, Germany
SESSION: Best student paper candidates table of contents
Pages: 1 - 15  
Year of Publication: 2005
ISBN:1-59593-020-5
Authors
Xiang-Yang Li  Illinois Institute of Technology, Chicago, IL
Wen-Zhan Song  Washington State University Vancouver, WA
Weizhao Wang  Illinois Institute of Technology, Chicago, IL
Sponsors
ACM: Association for Computing Machinery
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 4,   Downloads (12 Months): 76,   Citation Count: 8
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ABSTRACT

We propose a novel communication efficient topology control algorithm for each wireless node to select communication neighbors and adjust its transmission power, such that all nodes together self-form a topology that is energy efficient simultaneously for both unicast and broadcast communications. We prove that the proposed topology is planar, which guarantees packet delivery if a certain localized routing method is used; it is power efficient for unicast-- the energy needed to connect any pair of nodes is within a small constant factor of the minimum under a common power attenuation model; it is efficient for broadcast: the energy consumption for broadcasting data on top of it is asymptotically the best compared with structures constructed locally; it has a constant bounded logical degree, which will potentially reduce interference and signal contention. We further prove that the average physical degree of all nodes is bounded by a small constant. To the best of our knowledge, this is the first communication-efficient distributed algorithm to achieve all these properties. Previously, only a centralized algorithm was reported in [3]. Moreover, by assuming that the ID and position of every node can be represented in O(log n) bits for a wireless network of n nodes, our method uses at most 13n messages, where each message is of O(log n) bits. We also show that this structure can be efficiently updated for dynamical network environment. Our theoretical results are corroborated in the simulations.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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CITED BY  8

Collaborative Colleagues:
Xiang-Yang Li: colleagues
Wen-Zhan Song: colleagues
Weizhao Wang: colleagues