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Data aggregator

About: Data aggregator is a research topic. Over the lifetime, 2615 publications have been published within this topic receiving 40265 citations.


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Proceedings ArticleDOI
12 Dec 2009
TL;DR: This paper proposes a secure aggregation scheme of private data for WSNs that applies the additive property of complex number to unite sensor data and for their privacy during their transmissions to a sink node and shows that it is more efficient than the PDA scheme in terms of communicational cost.
Abstract: Many applications require the privacy of the sampled data while they travel from the source sensor nodes to data collecting device, say data sink. Providing an efficient data aggregation scheme with preserving data privacy is a challenging problem in the research of wireless sensor networks (WSNs). Although the secure data aggregation in WSNs has been well studied in the recent years, there exists a little work, for instance PDA (Privacy-preserving Data Aggregation), which focuses on protecting sensor data not only from adversaries but also from the participating trusted sensor nodes. However, PDA suffers from one main problem which is the high communication cost due to unnecessary traffics in the network during data transmissions. To resolve the problem, we, in this paper, propose a secure aggregation scheme of private data for WSNs. The proposed scheme applies the additive property of complex number to unite sensor data and for their privacy during their transmissions to a sink node. With our analytical performance evaluations, we show that our scheme is more efficient than the PDA scheme in terms of communicational cost.

22 citations

Proceedings ArticleDOI
21 Jun 2010
TL;DR: RDAS is able to perform accurate data aggregation in the presence of individually malicious and colluding nodes, as well as nodes that try to compromise the integrity of the reputation system by lying about other nodes' behavior.
Abstract: Data aggregation in wireless sensor networks is vulnerable to security attacks and natural failures. A few nodes can drastically alter the result of the aggregation by reporting erroneous data. In this paper we present RDAS, a robust data aggregation protocol that uses a reputation based approach to identify and isolate malicious nodes in a sensor network. RDAS is based on a hierarchical clustering arrangement of nodes, where a cluster head analyzes data from the cluster nodes to determine the location of an event. It uses the redundancy of multiple nodes sensing an event to determine what data should have been reported by each node. Nodes form part of a distributed reputation system, where they share information about other node's performance in reporting accurate data and use the reputation ratings to suppress reports from malicious nodes. RDAS is able to perform accurate data aggregation in the presence of individually malicious and colluding nodes, as well as nodes that try to compromise the integrity of the reputation system by lying about other nodes' behavior. We show that RDAS is more resilient to security attacks with respect to accuracy of event localization than the baseline data aggregation protocol with no security feature.

22 citations

Book ChapterDOI
01 Jan 2020
TL;DR: An attempt has been made in summarizing and comparing different compression and data aggregation algorithms proposed for WSN applications.
Abstract: Wireless Sensor Network (WSN) has been emerging as the most promising technology of future communication. WSNs face numerous research challenges, and one such challenge is the limited batteries in sensors. Thus, the data communication in WSNs has to be energy efficient. As nodes are densely deployed, data sensed by them are more likely to be correlated. This can be considered as an advantage to compress and combine the data from different nodes in WSNs. Ample number of researchers have worked in this area, and a good number of data compression and data aggregation algorithms were proposed in literature. In this paper, an attempt has been made in summarizing and comparing different compression and data aggregation algorithms proposed for WSN applications.

22 citations

Proceedings ArticleDOI
14 Dec 2004
TL;DR: A data aggregation and dilution scheme is introduced for the wireless sensor network, which can be perceived as a distributed relational database and can reduce the number of transmitted packets 50% on average compared to the case where aggregation or dilution is not used.
Abstract: A data aggregation and dilution scheme is introduced for the wireless sensor network, which can be perceived as a distributed relational database A new algorithm that can run on tiny sensor nodes to aggregate or dilute the sensed data packets is developed Two location based hash functions are also introduced to determine how the sensed data can be grouped or which sensors should be excluded from a query Analytical models are provided for the performance evaluation The numerical results show that our scheme can reduce the number of transmitted packets 50% on average compared to the case where aggregation or dilution is not used

22 citations

Journal ArticleDOI
Pengwei Hua1, Xiaowu Liu1, Jiguo Yu1, Na Dang1, Xiaowei Zhang1 
TL;DR: An energy-efficient Adaptive Slice-based Secure Data Aggregation (ASSDA) scheme which can promote the network performance under the limitation of node resource and maintain a good privacy preservation level in the same time is proposed.

22 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023104
2022277
2021189
2020207
2019179
2018188