Energy-aware wireless microsensor networks
By Vijay Raghunathan, Curt Schurgers, Sung I. Park, Mani B. Srivastava. IEEE Signal Processing Magazine, 2002
1,931 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/6dca00b95b4a7d5e98c8eeebea3f45ad06349848
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
- Mani B. Srivastava
- Bhaskar Krishnamachari
- Arun Agrahara Somasundara
- Mario Di Francesco
- Giuseppe Pio Anastasi
- Paolo Santi
- Marco Conti
- Cauligi S. Raghavendra
In Electrical and Electronic Engineering
- Bhaskar Krishnamachari
- Paolo Santi
- Mani B. Srivastava
- Adam Dunkels
- Nitin H. Vaidya
- V. Ponduru
- Archana Bharathidasan
- Deborah Estrin
Citations in the corpus
- Energy-efficient target coverage in wireless sensor networks (2005, background): “Sensor nodes are small devices equipped with one or more sensors, one or more transceivers, processing, storage resources and possible actuators [1].”
- An adaptive energy-efficient and low-latency MAC for data gathering in wireless sensor networks (2004, background): “However, the overhead of this switching is likely to be small [10] compared to energy savings in a 3μ sleep period of around 30ms.”
- On the lifetime of wireless sensor networks (2009, methodology): “This is also supported by measurements, for example those in [70].”
- Prediction-based strategies for energy saving in object tracking sensor networks (2004, methodology): “We use the shortest path multi-hop routing algorithm for communications between the base station and sensor nodes and adopt energy consumption for WINS sensor nodes [17, 22] as the basis for our simulation (shown in table 2).”
- Energy-efficient computing for wildlife tracking: design tradeoffs and early experiences with ZebraNet (2002, background): “have also studied energy and other design issues in sensor networks, discussing different node alternatives [32].”
- A MAC protocol to reduce sensor network energy consumption using a wakeup radio (2005, background): “More extensive surveys on power saving techniques are also available [ 44 ]‐[46].”
- MMSPEED: multipath Multi-SPEED protocol for QoS guarantee of reliability and. Timeliness in wireless sensor networks (2006, background): “However, according to previous studies [31], [32], [33], the dominant source of power consumption is the radio module.”
- Energy conservation in wireless sensor networks: A survey (2009, background): “Experimental measurements have shown that generally data transmission is very expensive in terms of energy consumption, while data processing consumes significantly less [108].”