The design space of wireless sensor networks

By Kay Römer, Friedemann Mattern. IEEE wireless communications, 2004

1,829 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/d4ef008a5e9e19a0bc7da32fbb700942e449880e

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In Computer Networks and Communications

In Computer Vision and Pattern Recognition

Citations in the corpus

Activity Recognition from On-Body Sensors: Accuracy-Power Trade-Off by Dynamic Sensor Selection (2008, background): “Although these nodes have limited memory and computational power, and may have robustness or accuracy limitations [5,6], unobtrusive context sensing can be achieved by integrating them in garments [7,8] or accessories [9].”
An Improved K-means Clustering Algorithm (2014, neutral): “s X X X Sim Pe Pe Y Y Y        (11)”
Information Systems and Environmentally Sustainable Development: Energy Informatics and New Directions for the IS Community (2010, background): “This definition is somewhat broader than that found in the wireless literature (e.g., Haenselmann 2005; Romer and Mattern 2004), because it includes items such as physical packages, which are conveyed by some transport systems.”
Wireless Sensor Networks and Applications: a Survey (2007, background): “Passive mobility (e.g., attached to a moving object not under the control of the sensor node) [24].”
A Survey on Sensor-Cloud: Architecture, Applications, and Approaches (2013, background): “A WSNcontains spatially distributed self-regulated sensors that can cooperativelymonitor the environmental conditions, like sound, temperature, pressure, motion, vibration, pollution, and so forth [1, 2].”
Comparison of energy harvesting systems for wireless sensor networks (2008, background): “A review of a broad range of applications is given in [3] as the basis for the proposal of a design space model.”
Wearable and Implantable Wireless Sensor Network Solutions for Healthcare Monitoring (2011, neutral): “[25].”
Machine Learning in Wireless Sensor Networks: Algorithms, Strategies, and Applications (2014, background): “For example, in addition to ensuring communication connectivity and energy sustainability, the WSN application often comes with minimum data coverage requirements that have to be fulfilled by limited sensor hardware resources [7].”
Particle Swarm Optimization in Wireless-Sensor Networks: A Brief Survey (2011, background): “W IRELESS-SENSOR networks (WSNs) are an emerging technology [1] that has potential applications in surveillance, environment and habitat monitoring, structural monitoring, healthcare, and disaster management [2].”
UWB Systems for Wireless Sensor Networks (2009, background): “Such relaying makes it easier to transmit information cross a large network and transmission over various paths also increase the robustness with respect to an individual node failure [ 26-28 ].”
NoiseTube: Measuring and mapping noise pollution with mobile phones (2009, background): “Recent years have seen an increasing interest in wireless sensor networks (WSN) for environmental monitoring [23] and urban sensing [8].”
An Industrial Perspective on Wireless Sensor Networks — A Survey of Requirements, Protocols, and Challenges (2014, methodology): “Various other applications for which WSN is used can be found in [3], [4].”
Design of a WSN Platform for Long-Term Environmental Monitoring for IoT Applications (2013, neutral): “hardware and software [1].”
An unequal cluster-based routing protocol in wireless sensor networks (2009, background): “The article [11] also proposed cluster-based routing protocols based on parameter optimization.”
A Survey of Network Lifetime Maximization Techniques in Wireless Sensor Networks (2017, background): “It also has to be resilient against denial-of-service (DoS) attacks and must be resistant to eavesdropping [3], [5].”
Very-Small-Satellite Design for Distributed Space Missions (2007, background): “V ERY small satellites, defined here as having a subkilogram mass, have the potential to enable a new class of distributed space missions by merging the concepts of distributed satellite systems [1] and terrestrial wireless sensor networks [2].”