scispace - formally typeset
Search or ask a question
Topic

Data aggregator

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


Papers
More filters
Proceedings ArticleDOI
Pin Nie1, Bo Li1
04 Jul 2011
TL;DR: This paper developed a role-based data aggregation middleware and SQL-like user interface to support flexible task configurations and implemented a prototype to evaluate operational flexibility and energy efficiency.
Abstract: Limited energy is one of the principal challenges in Wireless Sensor Networks (WSNs). In the application of Structural Health Monitoring (SHM), overwhelming data provision is another big problem. Data aggregation condenses raw data into useful information and reduces redundant data transmissions. Consequently, significant energy and data storage are saved, and tasks can be completed more efficiently. However, it is a nontrivial problem to organize the various data aggregation techniques into an integrated architecture on a distributed WSN. In this paper, we propose a cluster-based data aggregation architecture to facilitate application development for efficient SHM. We developed a role-based data aggregation middleware and SQL-like user interface to support flexible task configurations. We also implemented a prototype to evaluate operational flexibility and energy efficiency. Our experimental results indicate that a cluster-based data aggregation mechanism can save energy and optimize the distribution of computing tasks.

20 citations

Proceedings ArticleDOI
24 Oct 2011
TL;DR: This study presents the impact of the data merge technique on WSNs applications executed under various realistic data flow scenarios, traffic loads and wait time intervals and shows significant reductions in both packet loss and radio energy consumption.
Abstract: The Wireless Sensor Networks (WSNs) have limited power and communication capabilities, combined with the requirement for long network lifetime. To increase it, methods to reduce energy consumption are highly required. To achieve this goal, we study a data aggregation technique without size reduction, i.e. data merge. It is a generic technique, since it is also usable in applications with heterogeneous data and requirements for high accuracy. This study presents the impact of the data merge technique on WSNs applications executed under various realistic data flow scenarios, traffic loads and wait time intervals. Our results show significant reductions in both packet loss and radio energy consumption.

20 citations

Journal ArticleDOI
TL;DR: In this article, the authors study the data aggregation problem as a bicriteria optimization problem, where the objectives are to minimize maximum energy consumption of a sensor and a function of the maximum latency costs of a message.

20 citations

Journal ArticleDOI
TL;DR: A security privacy-preserving data aggregation model, which adopts a mixed data aggregation structure, which is robust to many attacks and has a lower communication overhead.
Abstract: With the rapid development and widespread use of wearable wireless sensors, data aggregation technique becomes one of the most important research areas. However, the sensitive data collected by sensor nodes may be leaked at the intermediate aggregator nodes. So, privacy preservation is becoming an increasingly important issue in security data aggregation. In this paper, we propose a security privacy-preserving data aggregation model, which adopts a mixed data aggregation structure. Data integrity is verified both at cluster head and at base station. Some nodes adopt slicing technology to avoid the leak of data at the cluster head in innercluster. Furthermore, a mechanism is given to locate the compromised nodes.The analysis shows that the model is robust to many attacks and has a lower communication overhead.

20 citations

Proceedings ArticleDOI
27 Sep 2013
TL;DR: This article presents a novel approach to classify the energy-efficient data aggregation protocols based on structure, search-based and time-based approaches, and results indicate that the energy and throughput rate are improved in the cluster-basedData aggregation protocols as compared to the structure-free, time- based or search- based data Aggregation protocols.
Abstract: The data in wireless sensor networks is organized in an efficient manner using data aggregation and data dissemination protocols. Due to the energy constraints in sensor nodes, energy-efficient data aggregation protocols are used to save the node energy and enhance the network life cycle. Deploying additional sensor nodes in the network reduce the resource constraints but increase the rate of data redundancy. This limitation is addressed by the data aggregation protocols in sensor networks. Data aggregation protocols use cluster head node to collect the data, aggregate the data and forward the data to the base station. The primary attributes considered in the design of data aggregation protocols are energy, latency, cluster size and data rate. In this article, we present a novel approach to classify the energy-efficient data aggregation protocols based on structure, search-based and time-based approaches. Analysis for structure-free, structure-based, distance and time-based data aggregation protocols are given in detail. Simulation results indicate that the energy and throughput rate are improved in the cluster-based data aggregation protocols as compared to the structure-free, time-based or search-based data aggregation protocols.

20 citations


Network Information
Related Topics (5)
Wireless sensor network
142K papers, 2.4M citations
92% related
Wireless network
122.5K papers, 2.1M citations
91% related
Network packet
159.7K papers, 2.2M citations
89% related
Wireless
133.4K papers, 1.9M citations
89% related
Node (networking)
158.3K papers, 1.7M citations
87% related
Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023104
2022277
2021189
2020207
2019179
2018188