Wireless Sensor Networks
By Davide Brunelli. Lecture Notes in Computer Science, 2012
3,140 citations recorded by the source corpus.
Subfields: Computer Networks and Communications
View Paper: https://www.semanticscholar.org/paper/7f7a35dc0be8fb201654530cde3f4de68e6d0243
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
- Wendi Rabiner Heinzelman
- Ling Shi
- Athanasios V. Vasilakos
- Omid Salehi-Abari
- Kofi Sarpong Adu-Manu
- Guangjie Han
- Takahiro Hara
- Vladimir Marko Stojanovic
Citations in the corpus
- All One Needs to Know about Metaverse: A Complete Survey on Technological Singularity, Virtual Ecosystem, and Research Agenda (2021, background): “have evolved from fixed environment sensors to self-arranging sensor networks [539].”
- A Distributed Frank-Wolfe Algorithm for Communication-Efficient Sparse Learning (2014, background): “However, in recent years, large-scale data has become increasingly distributed across several machines (nodes) connected through a network, for storage purposes or because it is collected at different physical locations (as in cloud computing, mobile devices or wireless sensor networks [1, 2]).”
- Optimal Linear Cyber-Attack on Remote State Estimation (2017, background): “The functions included might be signal processing, decision-making and alarm functions, which can be used to improve system performance [26], [27].”
- Swarm intelligence based routing protocol for wireless sensor networks: Survey and future directions (2011, neutral): “Tel.”
- Energy Harvesting Techniques for Internet of Things (IoT) (2021, background): “The IoT vision benefits from the features of Wireless Sensor Networks (WSNs) [8], [9] and relies on these systems for gathering data about the environment and for performing actions following the analysis of the collected data.”
- Design of a WSN Platform for Long-Term Environmental Monitoring for IoT Applications (2013, background): “However, many IoT applications (e.g., those in open nature) may have stringent requirements, such as very low cost, large number of nodes, long unattended service time, ease of deployment, low maintenance, which make these generic WSN platforms less suited.”
- Localization algorithms of Wireless Sensor Networks: a survey (2011, background): “…there are four kinds of localization schemes: (1) range-based and range-free localization algorithms; (2) landmark-based and landmark-free localization algorithms; (3) fine-grained and coarse-grained localization algorithms; (4) incremental and concurrent localization algorithms [14, 23, 54].”
- Energy-Aware Design of Compressed Sensing Systems for Wireless Sensors Under Performance and Reliability Constraints (2013, background): “Most of the technical obstacles to wider adoption of wireless sensor technology, such as data reliability and node lifetime, can be linked to the stringent energy constraints of each sensor node [2].”
- The Internet of Things vision: Key features, applications and open issues (2014, background): “Another essential technology for the development of IoT is Wireless Sensor Networks (WSNs) [40].”
- Energy-Harvesting Wireless Sensor Networks (EH-WSNs) (2018, background): “Radoi et al. 2015), monitoring for disasters such as earthquakes, hurricanes, and floods (Estrin et al. 2002; Akyildiz et al. 2002; Devasena and Sowmya 2015), and health monitoring of civil structures such as bridges and buildings (Lee et al. 2007; Kim et al. 2007; Hu et al. 2013).”
- Security of the Internet of Things: perspectives and challenges (2014, methodology): “RSN (RFID sensor network) is widely used in the Internet of Things, which is the integration of RFID and WSNs [62].”
- A survey on coverage and connectivity issues in wireless sensor networks (2012, background): “The advancing in the sensor technology, micro-electromechanical systems, modern networking and wireless communications technology has greatly promoted the emergence and development of modern WSNs (Pottie, 1998; Stankovic, 2008).”
- Spectrum sensing in cognitive radio (2016, background): “Examples of this are the widespread deployment of the Internet of Things (IoT) [5, 6, 7] based on machine to machine (M2M) communications and the progressive proliferation of sensor networks [8] in a broad set of scenarios.”