Energy efficient processing of K nearest neighbor queries in location-aware sensor networks

Julian Winter, Yingqi Xu, Wang Chien Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

35 Scopus citations

Abstract

The k nearest neighbor (KNN) query, an essential query for information processing in sensor networks, has not received sufficient attention in the research community of sensor networks. In this paper, we examine in-network processing of KNN queries by proposing two alternative algorithms, namely the GeoRouting Tree (GRT) and the KNN Boundary Tree (KBT). The former is based on a distributed spatial index structure and prunes off the irrelevant nodes during query propagation. The latter is based upon ad-hoc geographic routing and first obtains a region within which at least k nearest sensor nodes are enclosed and then decides the k nearest nodes to the query point. We provide an extensive performance evaluation to study the impact of various system factors and protocol parameters. Our results show that GRT yields a good tradeoff between energy consumption and query accuracy in static scenarios. On the other hand, KBT achieves better energy efficiency while being more tolerant to network dynamics.

Original languageEnglish (US)
Title of host publicationMobiQuitous 2005
Subtitle of host publicationSecond Annual International Conference on Mobile and Ubiquitous Systems -Networking and Services
Pages281-292
Number of pages12
DOIs
StatePublished - 2005
EventMobiQuitous 2005: Second Annual International Conference on Mobile and Ubiquitous Systems -Networking and Services - San Diego, CA, United States
Duration: Jul 17 2005Jul 21 2005

Publication series

NameMobiQuitous 2005: Second Annual International Conference on Mobile and Ubiquitous Systems -Networking and Services

Other

OtherMobiQuitous 2005: Second Annual International Conference on Mobile and Ubiquitous Systems -Networking and Services
Country/TerritoryUnited States
CitySan Diego, CA
Period7/17/057/21/05

All Science Journal Classification (ASJC) codes

  • General Engineering

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