On data aggregation quality and energy efficiency of wireless sensor network protocols - extended summary

Pham, Tung Thanh; Kim, Eun Jik; Moh, Melody

doi:10.1109/broadnets.2004.51

Cited by 43 publications

(26 citation statements)

References 4 publications

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“…Instead, it is the analysis of data, which allowed an end-user to determine something about the monitored environment. So a great deal of studies has been made on aggregat- 1 ing data in wireless sensor network [2,3] . The idea of data aggregation is to combine the data coming from different sources enroute-eliminating redundancy, minimizing the number of transmissions and thus saving energy.…”

Section: Introductionmentioning

confidence: 99%

A novel interest coverage method based on Jensen-Shannon Divergence in sensor networks

Wang

2007

J. of Electron.(China)

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In this paper, the idea of interest coverage is provided to form clusters in sensor network, which mean that the distance among data trends gathered by neighbor sensors is so small that, in some period, those sensors can be clustered, and certain sensor can be used to replace the cluster to form the virtual sensor network topology. In detail, the Jensen-Shannon Divergence (JSD) is used to characterize the distance among different distributions which represent the data trend of sensors. Then, based on JSD, a hierarchical clustering algorithm is provided to form the virtual sensor network topology. Simulation shows that the proposed approach gains more than 50% energy saving than Statistical Aggregation Methods (SAM) which transmitted data gathered by sensor only when the difference among data exceed certain threshold.

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Section: Introductionmentioning

confidence: 99%

A novel interest coverage method based on Jensen-Shannon Divergence in sensor networks

Wang

2007

J. of Electron.(China)

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“…The pair can be transmission and reception of data. The residual energy R e is given in equation 1. R e = I e − T e + X e ( )…”

Section: Residual Energy and Node Degreementioning

confidence: 99%

“…The data precision is treated as the crucial aspect in measuring the performance of data aggregation. In [1][2], the tradeoff between energy and QoS parameters in the data aggregation process was described. Data aggregation delay minimization methods studied by the authors [3][4][5] and energy factors affecting the data aggregation further discussed with various constraints [6][7].…”

Section: Literature Surveymentioning

confidence: 99%

Secure Data Aggregation for Wireless Sensor Networks using Double Cluster Head Approach

Sreenivasulu¹,

Reddy²

2017

JESTR

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In Wireless Sensor Networks (WSNs), data aggregation is defined as the method of acquiring sensed data from neighboring nodes and merged to send data to the base station. It is required to manage the limited in-network processing and storage capacity of nodes in the aggregation process with collaborative computing and also secure communication aspects. In this paper, double cluster head based secure aggregation method (DCSDA) is proposed. The method is more suitable for the cluster based communication strategy with security as a primary requirement with privacy and authentication. The experimental evaluation shows the performance of the DCSDA approach in terms of packet drop ratio, delay and energy consumption. The results proved the effectiveness of the DCSCA approach.

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“…In the early age of sensor networks research, the main storage trend followed consisted of sending all the data to be stored in base stations, which lie within, or outside, the network. However, this approach may be more appropriate to answer continuous queries, which are queries running on servers and mostly processing events generated by all sensors over a large period of time [5,11,19,15,3,12,13,7].…”

Section: Related Workmentioning

confidence: 99%

Decomposing Data-Centric Storage Query Hot-Spots in Sensor Networks

Aly

Chrysanthis

Pruhs

2006

2006 3rd Annual International Conference on Mobile and Ubiquitous Systems - Workshops

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On data aggregation quality and energy efficiency of wireless sensor network protocols - extended summary

Cited by 43 publications

References 4 publications

A novel interest coverage method based on Jensen-Shannon Divergence in sensor networks

A novel interest coverage method based on Jensen-Shannon Divergence in sensor networks

Secure Data Aggregation for Wireless Sensor Networks using Double Cluster Head Approach

Decomposing Data-Centric Storage Query Hot-Spots in Sensor Networks

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