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Novel Light Weight Compressed Data Aggregation using sparse measurements for IoT networks

  • Published:2018-11 Issue: Volume:121 Page:119-134
  • ISSN:1084-8045
  • Container-title:Journal of Network and Computer Applications
  • language:en
  • Short-container-title:Journal of Network and Computer Applications

Author:

Amarlingam M.,Mishra Pradeep Kumar,Rajalakshmi P.,Channappayya Sumohana S.,Sastry C.S.

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture

Reference45 articles.

1. Routing techniques in wireless sensor networks: a survey;Al-Karaki;IEEE Wirel. Commun.,2004

2. Compressed sensing for different sensors: a real scenario for WSN and IoT;Amarlingam,2016

3. QoS-aware and heterogeneously clustered routing protocol for wireless sensor networks;Amjad;IEEE Access.,2017

4. Distributed compressive sampling for lifetime optimization in dense wireless sensor networks;Caione;IEEE Trans. Ind. Inf.,2012

5. The Dantzig selector: statistical estimation when p is much larger than n;Candes;Ann. Stat.,2007

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1. OrcoDCS: An IoT-Edge Orchestrated Online Deep Compressed Sensing Framework;2023 IEEE 43rd International Conference on Distributed Computing Systems Workshops (ICDCSW);2023-07-18

2. Framework for Segmented threshold ℓ0 gradient approximation based network for sparse signal recovery;Neural Networks;2023-05

3. Data aggregation protocols for WSN and IoT applications – A comprehensive survey;Journal of King Saud University - Computer and Information Sciences;2023-02

4. A Survey of Data Aggregation Protocols for Energy Conservation in WSN and IoT;Wireless Communications and Mobile Computing;2022-10-29

5. A novel Hybrid technique for solving Data Aggregation problem based on Extended Weighted K-means algorithm and Key Performance Indicators;2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon);2022-10-16
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