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SmartGossip: an improved randomized broadcast protocol for sensor networks
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Source Information Processing In Sensor Networks archive
Proceedings of the 5th international conference on Information processing in sensor networks table of contents
Nashville, Tennessee, USA
POSTER SESSION: Main track table of contents
Pages: 210 - 217  
Year of Publication: 2006
ISBN:1-59593-334-4
Authors
Ananth V. Kini  Drexel University, Philadelphia, PA
Vilas Veeraraghavan  Drexel University, Philadelphia, PA
Nikhil Singhal  Drexel University, Philadelphia, PA
Steven Weber  Drexel University, Philadelphia, PA
Sponsor
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

We investigate four performance metrics for randomized broadcast protocols on sensor networks: the fraction of nodes that receive the message (coverage), the number of first-time receivers per transmission (energy efficiency), the node-average normalized time till reception (per hop latency), and the average number of control messages per node (overhead). Our focus is to evaluate the extent to which the exchange of local information (either active or passive) can improve protocol performance. To this end we study via simulation three protocols from the literature that exploit local information (GOSSIP3 from [8], SPIN-1 from [10], and PUSH&PULL from [12])and compare their performance against the well known GOSSIP1 ([8]) protocol which does not employ any local information in making transmission decisions. Our findings are that i) local information is of course quite valuable in increasing protocol performance, and ii) it is possible to obtain high coverage and efficiency but one must then incur either increased delay or increased overhead. We study the strengths and weaknesses of the above protocols and propose the new SmartGossip protocol which combines several ideas from the above protocols, as well as several new mechanisms, to achieve superior performance.


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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Collaborative Colleagues:
Ananth V. Kini: colleagues
Vilas Veeraraghavan: colleagues
Nikhil Singhal: colleagues
Steven Weber: colleagues