A survey on wireless multimedia sensor networks
By Ian F. Akyildiz, Tommaso Melodia, Kaushik R. Chowdhury. Comput. Networks, 2007
2,516 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/e5a33afb3ef2a5f92893e34457eca9a7c5dbbf89
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Ian F. Akyildiz
- Ali Gökhan Yavuz
- M. A. Güvensan
- Marco Conti
- Kaushik R. Chowdhury
- Tommaso Melodia
- Eugene Marinelli
- Mehmet Can Vuran
In Electrical and Electronic Engineering
- Ian F. Akyildiz
- Ali Gökhan Yavuz
- M. A. Güvensan
- Marco Conti
- Tommaso Melodia
- Eugene Marinelli
- Kaushik R. Chowdhury
- M. M. Afsar
Citations in the corpus
- Cognitive Radio Wireless Sensor Networks: Applications, Challenges and Research Trends (2013, background): “Multimedia applications, such as on-demand or live video streaming, audio, and still images over resource constrained WSNs, are extremely challenging because of their huge bandwidth requirements [41–43].”
- Upstream congestion control in wireless sensor networks through cross-layer optimization (2007, methodology): “I. INTRODUCTION AWIRELESS sensor network (WSN) [1] consists of one ormore sinks and large number of sensor nodes scattered in an area.”
- A survey on jamming attacks and countermeasures in WSNs (2009, background): “Recently the high drop in the prices of CMOS cameras and microphones has given rise to the development of a special class of WSNs, that of Wireless Multimedia Sensor Networks (WMSNs) [2] [3] [4].”
- Wireless Multimedia Sensor Networks: Applications and Testbeds (2008, methodology): “While we refer the reader to [ 1 ] for a detailed treatment of the research challenges in WMSNs at all layers of the communication protocol stack, in this paper, we describe applications of WMSNs and discuss ongoing research on prototypes and testbeds for experimental evaluation of algorithms, proto”
- Heterogeneous Information Fusion and Visualization for a Large-Scale Intelligent Video Surveillance System (2017, background): “Both centralized [32], [33] and decentralized [34], [35] networking approaches have been proposed.”
- Strategies and techniques for node placement in wireless sensor networks: A survey (2008, neutral): “D [9,83].”
- Internet of Things (IoT): A vision, architectural elements, and future directions (2012, background): “Video based IoT [39], which integrates image processing, computer vision and networking frameworks, will help develop a new challenging scientific research area at the intersection of video, infrared, microphone and network technologies.”
- A Survey of Visual Sensor Networks (2009, background): “An extensive survey of wireless multimedia sensor networks is provided in [4], where Akyildiz et al. discuss various open research problems in this research area, including networking architectures, single layer and cross-layer communication protocol stack design, and multimedia sensor hardware.”
- Early fire detection using convolutional neural networks during surveillance for effective disaster management (2017, background): “The accessing mechanism for the spectrum in CR-assisted sensor networks is of an opportunistic nature and hence additional hardware of reasonable cost with cognitive properties is required to enable the delay-sensitive applications to work properly [42] .”
- On coverage issues in directional sensor networks: A survey (2011, methodology): “Moreover, multimedia capability has been added to sensor nodes with the improvement on micro electromechanical systems (MEMS) [1].”
- Industrial Wireless Sensor Networks: Challenges, Design Principles, and Technical Approaches (2009, background): “The current sensor-network platforms use gateways for integration between IWSNs and the Internet [2].”
- Energy conservation in wireless sensor networks: A survey (2009, background): “image sensors or even multimedia sensors [4] generally require a lot of power.”
- Hyrax: Cloud Computing on Mobile Devices using MapReduce (2009, result): “[2007], Akyildiz et al. [2006], Litke et al. [2004]. However, in contrast to data-center “pay-as-you-use” cloud computing and sensor networks, in the proposed mobile-cloud concept (1) each node is owned by a different user, (2) each node is likely to be mobile, (3) the network topology is more dynam”
- Simultaneous Wireless Information and Power Transfer (SWIPT): Recent Advances and Future Challenges (2018, background): “As compared to sensing and data processing, communication is a costly functionality in a typical sensor node [145].”
- Wireless sensor network survey (2008, background): “As opposite to terrestrial WSNs, underwater sensor nodes are more expensive and fewer sensor nodes are deployed.”