In-Network Processing of Skyline Join Queries in Wireless Sensor Networks Using Synopses of Skyline Attribute Value Ranges

Author:

Kang Hyunchul1

Affiliation:

1. School of Computer Science and Engineering, Chung-Ang University, Seoul 06974, Republic of Korea

Abstract

We investigate the in-network processing of a skyline join query in wireless sensor networks (WSNs). While much research was conducted on processing skyline queries in WSNs, skyline join queries were dealt with only in traditional centralized or distributed database environments. However, such techniques cannot be applied to WSNs. Carrying out join filtering, as well as skyline filtering using them in WSNs, is infeasible due to limited memory in senor nodes and to excessive energy consumption in wireless communications. In this paper, we propose a protocol to process a skyline join query in WSNs energy efficiently with only a small amount of memory in each sensor node. It uses a synopsis of skyline attribute value ranges, which is a very compact data structure. The range synopsis is used both in the search of anchor points for skyline filtering and in 2-way semijoins for join filtering. We describe the structure of a range synopsis and present our protocol. To optimize our protocol, we solve some optimization problems. Through implementation and a set of detailed simulations, we show the effectiveness of our protocol. The range synopsis is confirmed to be compact enough for our protocol to work well with the limited memory and energy in each sensor node. For the correlated and random distributions, our protocol significantly outperforms other possible protocols, confirming the effectiveness of an in-network skyline as well as the join filtering capabilities of our protocol.

Funder

the Chung-Ang University Research

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference49 articles.

1. On finding the maxima of a set of vectors;Kung;J. ACM,1975

2. Borzsony, S., Kossmann, D., and Stocker, K. (2001, January 2–6). The Skyline operator. Proceedings of the 17th International Conference on Data Engineering, Heidelberg, Germany.

3. Papadias, D., Tao, Y., Fu, G., and Seeger, B. (2003, January 9–12). An optimal and progressive algorithm for skyline queries. Proceedings of the ACM SIGMOD International Conference on Management of Data, San Diego, CA, USA.

4. Dellis, E., and Seeger, B. (2007, January 23–27). Efficient computation of reverse skyline queries. Proceedings of the 33rd International Conference on Very Large Data Bases, Vienna, Austria.

5. Kalyvas, C., and Tzouramanis, T. (2017). A survey of skyline query processing. arXiv.

Cited by 1 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. Overcoming ageism: Ensuring quality geriatric care during radiology examinations;Journal of Medical Imaging and Radiation Sciences;2023-12

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3