Continuous Top-k Contour Regions Querying in Sensor Networks

Author:

Mo Shangfeng123ORCID,Chen Hong12,Li Cuiping12,Li Deying12,Li Yinglong123

Affiliation:

1. Key Laboratory of Data Engineering and Knowledge Engineering of MOE, Renmin University of China, Beijing 100872, China

2. School of Information, Renmin University of China, Beijing 100872, China

3. Hunan University of Science and Technology, Xiangtan 411201, China

Abstract

Wireless sensor networks (WSNs) are important parts of Internet of Things or Cyber-Physical Systems (CPS). WSNs can be seen as a new type of distributed database systems. The data query processing is very important for WSNs. In this paper, we proposed a Continuous Top-k Contour Regions Querying algorithm (CTCRQ) which can continuously obtain the top-k contour regions and does not lose the rate of precision (accuracy). We take full advantage of the kth value of top-k result in current round as the threshold to suppress the nodes whose readings do not belong to the top-k result in next round. Extensive experiments are conducted to evaluate the performance of the proposed CTCRQ approach by using a synthetic data set. The results provide a number of insightful observations and show that CTCRQ substantially outperforms Centralized algorithm, Centralized Optimized algorithm, and CCM algorithm in terms of data transmitted.

Funder

National Natural Science Foundation of China

Publisher

SAGE Publications

Subject

Computer Networks and Communications,General Engineering

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