C Lv, Q Wang, W Yan, Y Shen - Journal of Network and Computer …, 2016 - Elsevier
Compressive Sensing (CS) can use fewer samples to recover a great number of original data, which have a sparse representation in a proper basis. For energy-constrained …
In Wireless Sensor Network (WSN), scheduling is one of the important issues that impacts the lifetime of entire WSN. Various scheduling schemes have been proposed earlier to …
This paper provides a general framework to model and optimize lifetime maximization problems in wireless sensor networks with sensors having specialized capabilities like the …
Clustering has been used as one of energy-efficient mechanisms for data routing in wireless sensor networks. In hierarchical routing approaches, cluster heads are responsible for …
C Panem, N Vetrekar, R Gad - International Journal of …, 2022 - Wiley Online Library
The evolution of technologies in data communication system has resulted in generation of large data. With the availability of limited bandwidth and to maintain the energy efficiency of …
C Lv, Q Wang, W Yan, J Li - Computer Networks, 2018 - Elsevier
As a means of detecting abnormal events in Wireless Sensor Networks (WSNs), this paper presents a Compressive Sensing (CS)-based algorithm, called Minimum Spanning Tree and …
This book provides a comprehensive introduction to the underlying theory, design techniques and analytical results of wireless communication networks, focusing on the core …
T Amgoth, PK Jana - Wireless Personal Communications, 2015 - Springer
One of the objectives of the wireless sensor networks (WSNs) is to preserve the coverage of the target area by the sensor nodes to a maximum possible time. Therefore, designing …
C Lv, Q Wang, W Yan, J Li - Computer Networks, 2019 - Elsevier
For the temperature monitoring in Wireless Sensor Networks (WSNs), the paper puts forward a Compressive Sensing-based sequential data gathering framework. The framework first …