A Comprehensive Cross-Layer Framework for Optimization of Correlated Data Gathering in Wireless Sensor Networks

2016 ◽  
Author(s):  
Narsimha Neela ◽  
O.B.V. Ramanaiah
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Gathering ◽  
Correlated Data ◽  
Wireless Sensor ◽  
Cross Layer

Cross Layer Data Gathering Protocol For Wireless Sensor Networks

2017 ◽  
pp. 252
Author(s):  
Mohammed A. Abuhelaleh ◽  
Tahseen A. Al-Ramadin ◽  
Bassam A. Alqaralleh ◽  
Moha'med Al-Jaafereh ◽  
Khaled Almi'ani
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Gathering ◽  
Wireless Sensor ◽  
Cross Layer

Cross Layer Data Gathering Protocol For Wireless Sensor Networks

2016 ◽  
pp. 221
Author(s):  
Mohammed A. Abuhelaleh ◽  
Tahseen A. Al-Ramadin ◽  
Khaled Almi'ani ◽  
Moha'med Al-Jaafereh ◽  
Bassam A. Alqaralleh
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Gathering ◽  
Wireless Sensor ◽  
Cross Layer

Correlated Data Gathering With Double Trees in Wireless Sensor Networks

2012 ◽  
Vol 12 (5) ◽  
pp. 1147-1156 ◽  
Author(s):  
Hsien-Cheng Weng ◽  
Yu-Hsun Chen ◽  
Eric Hsiao-Kuang Wu ◽  
Gen-Huey Chen
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Gathering ◽  
Correlated Data ◽  
Wireless Sensor

Clustering and Compressive Data Gathering for Transmission Efficient Wireless Sensor Networks

2021 ◽  
pp. 28-55
Author(s):  
Utkarsha Sumedh Pacharaney ◽  
Ranjan Bala Jain ◽  
Rajiv Kumar Gupta
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Compressive Sensing ◽  
Data Gathering ◽  
Correlated Data ◽  
Wireless Sensor ◽  
Clustering Methods ◽  
Compression Technique ◽  
Spatially Correlated ◽  
Sensory Data

The chapter focuses on minimizing the amount of wireless transmission in sensory data gathering for correlated data field monitoring in wireless sensor networks (WSN), which is a major source of power consumption. Compressive sensing (CS) is a new in-node compression technique that is economically used for data gathering in an energy-constrained WSN. Among existing CS-based routing, cluster-based methods offer the most transmission-efficient architecture. Most CS-based clustering methods randomly choose nodes to form clusters, neglecting the topology structure. A novel base station (BS)-assisted cluster, spatially correlated cluster using compressive sensing (SCC_CS), is proposed to reduce number of transmissions in and form the cluster by exploiting spatial correlation based on geographical proximity. The proposed BS-assisted clustering scheme follows hexagonal deployment strategy. In SCC_CS, cluster heads are solely involved in data gathering and transmitting CS measurements to BS, saving intra-cluster communication cost, and thus, network life increases as proved by simulation.

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