A novel distributed air index for efficient spatial query processing in road sensor networks on the air-Reference-Cited by-同舟云学术

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A novel distributed air index for efficient spatial query processing in road sensor networks on the air

Published:2016-03-21 Issue:5 Volume:30 Page:e3131
ISSN:1074-5351
Container-title:International Journal of Communication Systems
language:en
Short-container-title:Int J Commun Syst

Author:

Li Yanhong¹,Shu LihChyun²,Zhu Rongbo¹,Li Li³

Affiliation:

1. College of Computer Science; South-Central University for Nationalities; Wuhan China

2. College of Management; National Cheng Kung University; Tainan City 701 Taiwan

3. School of Computer Science and Technology; Huazhong University of Science and Technology; Wuhan China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Reference38 articles.

1. Location-dependent query processing: where we are and where we are heading;Ilarri;ACM Computing Surveys,2010

2. Continuous monitoring of spatial queries in wireless broadcast environments;Mouratidis;IEEE Transactions on Mobile Computing,2009

3. Effective protocols for kNN search on broadcast multi-dimensional index trees;Liu;Information Systems,2008

4. A distributed spatial index for error-prone wireless data broadcast;Zheng;The VLDB Journal,2009

5. A scalable energy-efficient continuous nearest neighbor search in wireless broadcast systems;Park;Wireless Networks,2010

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. DZI: An air index for spatial queries in one-dimensional channels;Data & Knowledge Engineering;2019-11

2. A hierarchical binary quadtree index for spatial queries;Wireless Networks;2018-01-25

3. A cognitive learning model in distance education of higher education institutions based on chaos optimization in big data environment;The Journal of Supercomputing;2018-01-24

4. An effective task scheduling algorithm based on dynamic energy management and efficient resource utilization in green cloud computing environment;Cluster Computing;2017-10-17

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