A distance vector algorithm for wireless sensor networks by combining resource-aware framework

Muhammad Ilyas Syarif*, Jumadi M. Parenreng, Supeno Djanali, Ary Masharuddin Shiddiqi

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Efficiency energy and stream data mining on Wireless Sensor Networks (WSNs) is a very interesting issue to be discussed. Routing protocols technology and resource-aware can be done to improve energy efficiency. In this paper we will try to merging routing protocol technology using routing Distance Vector and Resource-Aware (RA) framework. RA perform resource monitoring process of the battery, memory and CPU load, so that uses of these three resources more optimally and efficiently. The mining data streaming process uses Light-Weight Clustering (LWC) and Light Weight Frequent Item (LWF). Results obtained that involves adaptation of Resource-Aware in terms of lifetime of wireless sensor networks shows improvement of up to ± 16.62%.

Original languageEnglish
Title of host publicationICACSIS 2011 - 2011 International Conference on Advanced Computer Science and Information Systems, Proceedings
Pages69-72
Number of pages4
Publication statusPublished - 2011
Externally publishedYes
Event2011 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2011 - Jakarta, Indonesia
Duration: 17 Dec 201118 Dec 2011

Publication series

NameICACSIS 2011 - 2011 International Conference on Advanced Computer Science and Information Systems, Proceedings

Conference

Conference2011 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2011
Country/TerritoryIndonesia
CityJakarta
Period17/12/1118/12/11

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