Distributed Data Aggregation Using Clustered Slepian-Wolf Coding in Wireless Sensor Networks

2007 ◽  
Author(s):  
P. Wang ◽  
C. Li ◽  
J. Zheng
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Aggregation ◽  
Wireless Sensor ◽  
Distributed Data

Distributed Data Aggregation Algorithm in Wireless Sensor Networks

2013 ◽  
Vol 442 ◽  
pp. 526-531
Author(s):  
Xian Li Li ◽  
Jia Wei Zhang ◽  
Hai Tao Zhang
Keyword(s):  
Wireless Sensor Networks ◽  
Wavelet Transform ◽  
Sensor Networks ◽  
Data Aggregation ◽  
Rational Design ◽  
Wireless Sensor ◽  
Distributed Data ◽  
Lifting Wavelet Transform ◽  
Network Nodes ◽  
Lifting Wavelet

Considering the limited resources and data transmission redundancy of wireless sensor networks, this paper proposes a distributed data aggregation algorithm based on lifting wavelet transform (DDAA-LWT), and carries out the rational design. The algorithm distributes the computing quantity which the lifting wavelet transform requires to all network nodes, eliminates the additional computing and wireless transmission, reduces the information redundancy of network, greatly prolongs the lifecycle of wireless sensor networks. Simulation results demonstrate that the distributed data aggregation algorithm based on lifting wavelet transform (DDAA-LWT) can effectively aggregate the original sensed data and decrease the energy consumption, it significantly outperforms the data aggregation algorithm based on traditional wavelet transform (DAA-WT).

scholarly journals ERP-DDA: Event Reporting Protocol Based on Distributed Data Aggregation for Wireless Sensor Networks

2021 ◽  
Vol 50 (3) ◽  
pp. 470-484
Author(s):  
Raed T AL-Zubi ◽  
Mohammad Q Alawad ◽  
Abdulraheem A Kreishan ◽  
Khalid A Darabkh
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Data Aggregation ◽  
Human Life ◽  
Base Station ◽  
Wireless Sensor ◽  
Distributed Data ◽  
Event Reporting ◽  
Wide Range

Wireless Sensor Networks (WSNs) have a wide range of applications in human life. Accordingly, WSNs have beenthoroughly considered in research community to improve their performance and address their challenges. Eventreporting in WSNs has always been a major challenge in terms of energy consumption. Event reporting requiressensing the event and sending a reporting packet from the sensor to the centralized base station (BS). However,sensor’s energy is limited and stored in a non-rechargeable battery. Therefore, several event-reporting (or datacollection) protocols have been proposed to improve energy consumption in WSNs, and consequently, to extendtheir lifetime. In this paper, we propose an efficient event reporting protocol for WSNs called Event ReportingProtocol Based on Distributed Data Aggregation (ERP-DDA). This protocol mainly aims at reporting any event byno more than one sensor node such that energy saving is satisfied in the whole network. To achieve this goal, ERPDDAis mainly based on the following features: it is a cluster-based protocol, it is a multi-hop routing protocol, itapplies distributed data aggregation, and it employs variable clustering and cluster head selection. Simulationsshow that ERP-DDA significantly extends the lifetime of WSNs compared with other related protocols.

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