In this paper, we propose an integration of compressive sensing (CS) and clustering in WSNs utilizing block diagonal matrices (BDMs) as the measurement matrices. Such an …
MT Nguyen, N Rahnavard - MILCOM 2013-2013 IEEE Military …, 2013 - ieeexplore.ieee.org
In this paper, an integration of compressive sensing (CS) and clustering in wireless sensor networks (WSNs) is proposed to significantly reduce the energy consumption related to data …
Energy efficiency is one of the key objectives in data gathering in wireless sensor networks (WSNs). Recent research on energy-efficient data gathering in WSNs has explored the use …
The minimization of energy consumption related to data acquisition is of prime importance in energy constrained Wireless Sensor Networks (WSNs). The application of Compressive …
In wireless sensor network (WSN) redundant data gathering and transmission occurs due to dense deployment. Recently compressive sensing (CS) has attracted considerable attention …
R Xie, X Jia - IEEE transactions on parallel and distributed …, 2013 - ieeexplore.ieee.org
Compressive sensing (CS) can reduce the number of data transmissions and balance the traffic load throughout networks. However, the total number of transmissions for data …
NS Patil, A Parveen - International Journal of Information Technology, 2022 - Springer
An energy-efficient data gathering method for resource-constrained Wireless Sensor Networks (WSNs) is Compressive Sensing (CS). CS promises the construction of a …
X Xu, R Ansari, A Khokhar - 2013 IEEE international …, 2013 - ieeexplore.ieee.org
Compressive sensing (CS) is a burgeoning technique being applied to diverse areas including wireless sensor networks (WSNs). In WSNs, it has been applied in the context of …
Data gathering in wireless sensor networks (WSNs) is one of the major sources for power consumption. Compression is often employed to reduce the number of packet transmissions …