Middleware to support sensor network applications

By Wendi Rabiner Heinzelman, Amy Lynn Murphy, Hervaldo Sampaio Carvalho, Mark A. Perillo. IEEE Network, 2004

595 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/20da8b00595e3317a9cdd5b3161be8e0c05167da

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

1. J. A. Pérez-Díaz
2. Pablo H. Ibargüengoytia-González
3. J. García-Hernández
4. C. Garcia-hernandez
5. Giancarlo Fortino

In Computer Vision and Pattern Recognition

1. Giancarlo Fortino
2. Roozbeh Jafari
3. Nasser Kehtarnavaz
4. Mengyuan Liu
5. Neha Dawar
6. Hong Liu

Citations in the corpus

• Wireless Sensor Networks and Applications: a Survey (2007, methodology): “In [21], different types of sensor network applications were described and existing techniques for managing these types of networks are discussed.”
• Enabling Effective Programming and Flexible Management of Efficient Body Sensor Network Applications (2013, background): “However, current general-purpose frameworks for WSNs such as Agilla [3], DFuse [4], Milan [5], TAG [6], or Mires [7] are designed to support a wide variety of application scenarios.”
• New Generation Sensor Web Enablement (2011, methodology): “Examples for WSN middleware solutions are MundoCore [26], Mires [27] or MiLAN [28].”
• Middleware for Internet of Things: A Survey (2016, unknown): “Also, service discovery and composition should be autonomous and dynamically adaptive.”