Sensor networks: evolution, opportunities, and challenges
By Chee Yee Chong, Srikanta P. R. Kumar. Proceedings of the IEEE, 2003
3,601 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/e7533b973c457b96e81801eb94f9b001bd5d308c
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
- Moe Z. Win
- Ganesh Kumar Venayagamoorthy
- Raghavendra V. Kulkarni
- Yuan Shen
- Kemal Akkaya
- Anna Förster
- Baris Fidan
- Mohamed F. Younis
In Electrical and Electronic Engineering
- Moe Z. Win
- Yuan Shen
- Baris Fidan
- Guoqiang Mao
- Martin Haenggi
- Raghavendra V. Kulkarni
- Ganesh Kumar Venayagamoorthy
- Subhrakanti Dey
Citations in the corpus
- Smart City Reference Model: Assisting Planners to Conceptualize the Building of Smart City Innovation Ecosystems (2012, background): “Internet of Things, as a realization of digital into the physical world is expected to greatly contribute to addressing today’s urban challenges [24, 39, 40].”
- Lyapunov-Based Model Predictive Control of Nonlinear Systems Subject to Data Losses (2008, background): “Wireless networks have received a lot of attention lately, see [4]–[7] and the references therein, since they play a prominent role in several areas of interest, like sensor networks [8], [9], multi-agent systems [10], [11] and chemical process systems [12] where a wide range of wireless actuators a”
- A survey on jamming attacks and countermeasures in WSNs (2009, neutral): “Around 1980, the Distributed Sensor Networks (DSNs) project was initiated by the Defence Advanced Research Projects Agency (DARPA) [10].”
- Electromagnetic Energy Harvesting Circuit With Feedforward and Feedback DC–DC PWM Boost Converter for Vibration Power Generator System (2007, background): “In recent years, the rapid development of micro sensors for various applications [4], including remote environmental monitoring, homeland security, automotive sensors and biomedical sensors, require a miniaturized integrated distributed power supply to reduce potential problems, such as complicated ”
- Smart Grid Communications: Overview of Research Challenges, Solutions, and Standardization Activities (2011, background): “WSN has been an active research topic for nearly ten years and has found many applications [27][28].”
- Computational Intelligence in Wireless Sensor Networks: A Survey (2011, methodology): “WSNs are used in numerous applications such as environmental monitoring, habitat monitoring, prediction and detection of natural calamities, medical monitoring and structural health monitoring [2].”
- Localization in Wireless Sensor Networks (2007, background): “Challenges and improvements The authors of [4] describe the history of the research in SN, but more interesting is the overview on the technical challenges and issues is presented, from which we can cite several relevant items: WSN working in a harsh environment; the knowledge of the network (at lea”
- Wireless Sensor Networks for Condition Monitoring in the Railway Industry: A Survey (2015, background): “The new technologies allow vast numbers of distributed sensors to be networked [5], [6], [37], [45], [122] to constantly monitor machines, systems, and environments.”
- A Survey of Energy-Efficient Hierarchical Cluster-Based Routing in Wireless Sensor (2010, neutral): “industry process control [28].”
- WIRELESS SENSOR NETWORK (2014, neutral): “[9] Environmental Sensors: Temperature, Humidity (soil, leaf, ambient), Soil moisture, Wind (speed and direction), Pressure, Leaf, Ph.”
- Environmental Sensor Networks: A revolution in the earth system science? (2006, background): “The development of ESN requires a unique combination of technological and environmental understanding (Computer Science and Telecommunications Board, 2001; Chong and Kumar, 2003; Martinez et al., 2004).”
- Wireless sensor networks: applications and challenges of ubiquitous sensing (2005, background): “However, recent advances in low power VLSI, embedded computing, communication hardware, and in general, the convergence of computing and communications, are making this emerging technology a reality [ A3 ].”