A Rate-Distortion Based Aggregation Method Using Spatial Correlation for Wireless Sensor Networks

Aminian, Mehdi; Akbari, Mohammad Kazem; Sabaei, Masoud

doi:10.1007/s11277-012-0913-y

Cited by 7 publications

(9 citation statements)

References 19 publications

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“…[2,[4][5][6][7][8][9][10][11][12]. Various studies use correlation in aggregation technique for FS model such as Ref.…”

Section: Back Ground and Previous Workmentioning

confidence: 99%

“…In our previous work in [2] we have introduced the algorithm for aggregation the FS data model using RD theory named RDAC (Rate Distortion in Aggregation considering Correlation) using spatial correlation. Also, in our previous study [20], we proposed aggregation protocol based on DAMORD mathematical model and evaluated it in various simulation scenarios.…”

Section: Back Ground and Previous Workmentioning

confidence: 99%

“…Various studies use correlation in aggregation technique for FS model such as Ref. [2,[4][5][6][7][8][9][10][11][12]. In 3D-DCT (3D-Discreet Cosine Transform) [4] with respect to using Centralized Source Coding (CSC), the discreet cosine transform technique is applied for performing the lossy CSC for aggregating the data.…”

Section: Back Ground and Previous Workmentioning

confidence: 99%

“…The former is used in target detection/tracking, and the latter finds applications in monitoring physical quantities of the environment such as temperature or light. Our previous work [2] has been focused on FS data model, but in this research work, we concentrate on the PS data model phenomenon. The cases where the physical phenomenon is dispersed over the field can be modeled as the FS [1].…”

Section: Introductionmentioning

confidence: 99%

“…The cases where the physical phenomenon is dispersed over the field can be modeled as the FS [1]. Our previous work [2] has been focused on FS data model, but in this research work, we concentrate on the PS data model phenomenon.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

DAMORD: an aggregation algorithm for mobile point source using rate‐distortion theory in wireless sensor networks

Aminian

Sabaei

Akbari

2014

Int J Communication

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By rapid advances in the development of electronic components and with declining cost of sensor network deployment, we are witnessing the amazing growth of these networks. The energy consumption constraints have imposed the importance and necessity of new concepts such as data aggregation. In this paper, a new method is proposed for aggregating the data received from the mobile point source in a sensor network. In this method called DAMORD (Data Aggregation for Mobile Object using Rate-Distortion), by using RD theory and considering spatial and temporal correlation, we can reduce the load of data transmitted to base station with considering the maximum distortion that can be tolerated by the user. To the best of our knowledge, nobody has yet used the RD theory for the data aggregation of mobile object in the sensor networks. A mathematical model followed by detailed model verification demonstrated the efficiency of the proposed method under different conditions.

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“…[2,[4][5][6][7][8][9][10][11][12]. Various studies use correlation in aggregation technique for FS model such as Ref.…”

Section: Back Ground and Previous Workmentioning

confidence: 99%

Section: Back Ground and Previous Workmentioning

confidence: 99%