A systematic review of compressive sensing: Concepts, implementations and applications
M Rani, SB Dhok, RB Deshmukh - IEEE access, 2018 - ieeexplore.ieee.org
Compressive Sensing (CS) is a new sensing modality, which compresses the signal being
acquired at the time of sensing. Signals can have sparse or compressible representation …
acquired at the time of sensing. Signals can have sparse or compressible representation …
The sensable city: A survey on the deployment and management for smart city monitoring
In last two decades, various monitoring systems have been designed and deployed in urban
environments, toward the realization of the so called smart cities. Such systems are based …
environments, toward the realization of the so called smart cities. Such systems are based …
UAV-aided projection-based compressive data gathering in wireless sensor networks
Fifth generation wireless networks are expected to provide advanced capabilities and create
new markets. Among the emerging markets, Internet of Things (IoT) use cases are standing …
new markets. Among the emerging markets, Internet of Things (IoT) use cases are standing …
Optimal resource allocation using reinforcement learning for IoT content-centric services
The exponential growing rate of the networking technologies has led to a dramatical large
scope of the connected computing environment. Internet-of-Things (IoT) is considered an …
scope of the connected computing environment. Internet-of-Things (IoT) is considered an …
Compressive sensing-based IoT applications: A review
The Internet of Things (IoT) holds great promises to provide an edge cutting technology that
enables numerous innovative services related to healthcare, manufacturing, smart cities and …
enables numerous innovative services related to healthcare, manufacturing, smart cities and …
A comparative classification of information dissemination approaches in vehicular ad hoc networks from distinctive viewpoints: A survey
R Ghebleh - Computer Networks, 2018 - Elsevier
Vehicular ad hoc networks (VANET) have received tremendous attention due to their
potential impact on scientific research and their numerous attractive applications. With the …
potential impact on scientific research and their numerous attractive applications. With the …
Trust based data prediction, aggregation and reconstruction using compressed sensing for clustered wireless sensor networks
EPK Gilbert, B Kaliaperumal, EB Rajsingh… - Computers & Electrical …, 2018 - Elsevier
Sensing and relaying are the primary tasks of sensor nodes in a Wireless Sensor Network
(WSN). Hence the recent research focus has been to devise secure, energy efficient ways to …
(WSN). Hence the recent research focus has been to devise secure, energy efficient ways to …
Energy efficient data collection in large-scale internet of things via computation offloading
Internet of Things (IoT) can be used to promote many advanced applications by utilizing the
sensed data collected from various settings. To reduce the energy consumption of IoT …
sensed data collected from various settings. To reduce the energy consumption of IoT …
Energy efficient reservation-based cluster head selection in WSNs
Due to the type of applications, wireless sensor nodes must always be inexpensive and
small. Hence, the presence of constraints such as the limitation of energy resource is …
small. Hence, the presence of constraints such as the limitation of energy resource is …
Region-based compressive networked storage with lazy encoding
Existing work on distributed networked storage, although extensive, has generally focused
on the recovery of global data field covering the entire network. This, while demanded by a …
on the recovery of global data field covering the entire network. This, while demanded by a …