Regional Digest Aggregation based on Opportunities in Wireless Sensor Networks
Chi Quynh Nguyen1, Ngoc thi Bich Do2
1Chi Quynh Nguyen, Faculty, Department of Computer Science, Posts and Telecommunications Institute of Technology, Hanoi, Vietnam.
2Ngoc thi Bich Do, Faculty of Department, Posts and Telecommunications Institute of Technology, Hanoi, Vietnam.
Manuscript received on 04 November 2023 | Revised Manuscript received on 17 November 2023 | Manuscript Accepted on 15 December 2023 | Manuscript published on 30 December 2023 | PP: 26-31 | Volume-13 Issue-1, December 2023 | Retrieval Number: 100.1/ijitee.A97581213123 | DOI: 10.35940/ijitee.A9758.1213123
Open Access | Editorial and Publishing Policies | Cite | Zenodo | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: It is desirable to reduce the amount of data collected in sensor networks to reduce energy consumption and to extend network lifetime. At the same time, one should extract as much information as possible to allow support for heterogeneous user queries. Several aggregation proposals have been proposed to reduce the amount of data communication within sensor networks, primarily focusing on supporting limited and straightforward query types, such as SUM, COUNT, AVG, and MIN/MAX. Unfortunately, user queries are not limited to these simple types of aggregates and cannot be predicted a priori. In this paper, we propose an aggregation framework that produces regional digests at a parameter-defined granularity, allowing for the support of arbitrary user queries. Since the success of the aggregation policy greatly depends on the integrated routing mechanisms, we evaluate the performance of our approach under alternative routing approaches. Our experimental results suggest at least 3-fold improvement in spatial accuracy at a relatively small expense of increased energy consumption.
Keywords: Sensor Networks, In-Network Data Management, Aggregation, Adaptive Routing, Energy-Efficiency.
Scope of the Article: Sensor Networks