DocumentCode :
2925904
Title :
Handling dynamics in gossip-based aggregation schemes
Author :
Bicocchi, Nicola ; Mamei, Marco ; Zambonelli, Franco
Author_Institution :
Dipt. di Sci. e Metodi dell´´Ing., Univ. degli Studi di Modena e Reggio Emilia, Reggio Emilia, Italy
fYear :
2009
fDate :
5-8 July 2009
Firstpage :
380
Lastpage :
385
Abstract :
A problem in large and dynamic networks consists in making available at each node global information about the state of the network. Gossip-based aggregation schemes are a simple yet effective mechanism to solve the problem. However, they have to cope with the dynamics either of the network and the values being aggregated and thus have to integrate specific solutions to deal with them. The contribution of this paper is to analyze and compare three different solutions to handle network and values dynamics in gossip-based aggregation schemes: (i) an epoch-based approach based on periodic restarts, (ii) an optimized epoch-based approach based on concurrent aggregation threads and (iii) an original approach based on values evaporation that does not require periodic restarts. Experimental results show that our proposal is effective and often more accurate than epoch-based techniques.
Keywords :
error statistics; graph theory; optimisation; protocols; wireless sensor networks; concurrent aggregation thread; error probability; gossip-based aggregation protocol; large dynamic wireless sensor network; optimization problem; optimized epoch-based approach; periodic restart; random graph; values evaporation; Aggregates; Aging; Computational modeling; Electrical capacitance tomography; Local activities; Performance evaluation; Proposals; Protocols; Temperature measurement; Yarn;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computers and Communications, 2009. ISCC 2009. IEEE Symposium on
Conference_Location :
Sousse
ISSN :
1530-1346
Print_ISBN :
978-1-4244-4672-8
Electronic_ISBN :
1530-1346
Type :
conf
DOI :
10.1109/ISCC.2009.5202291
Filename :
5202291
Link To Document :
بازگشت