Sensor information networking architecture and applications
By Chien-Chung Shen, C. Srisathapornphat, C. Jaikaeo. IEEE wireless communications, 2001
673 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/d08ee1c1a66f3a3d2961a5ab8de9bb915d558cc5
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
- Ian F. Akyildiz
- J. Stankovic
- Azzedine F. M. Boukerche
- Tarek F. Abdelzaher
- Gerhard P. Hancke Jr.
- Jennifer C. Hou
- Chenyang Lu
- Vehbi Cagri Gungor
In Computer Vision and Pattern Recognition
- Sandeep S. Kulkarni
- Ian F. Akyildiz
- Jennifer C. Hou
- Azzedine F. M. Boukerche
- Tarek F. Abdelzaher
- Erdal Cayirci
- Yogesh Sankarasubramaniam
- Huazhong Zhang
Citations in the corpus
- Sensor Networks (2002, background): “The protocol stack consists of the physical layer, data link layer, network layer, transport layer, application layer, power management plane, mobility management plane, and task management plane.”
- Algorithms and Protocols for Wireless Sensor Networks (2008, methodology): “Sensor Information Networking Architecture (SINA) [51] is a cluster-based architecture that abstracts a WSN as a dense collection of distributed objects where users access information through declarative queries and execute tasks through programming scripts.”
- Industrial Wireless Sensor Networks: Challenges, Design Principles, and Technical Approaches (2009, positive): “For example, the sensor information networking architecture provides a middleware implementation of the general abstraction and describes sensor query and tasking language to implement such middleware architecture [24].”
- Middleware for Internet of Things: A Survey (2016, neutral): “Real time: Applications and services rely on being directly connected to the physical world.”
- Event Detection Services Using Data Service Middleware in Distributed Sensor Networks (2003, methodology): “…research projects in the area of sensor networks, such as Cougar, Rutgers Dataman, SINA, SCADDS, Smart-msgs, and some virtual-machine-like designs (Cougar Project, 2000)(Dataman Project, 1999)(SCADDS Project, 1999)(Smart Message Project, 2000)(Bonnet, 2001)(Feng, 2002)(Mattern, 2002)(Shen, 2001).”
- Wireless sensor networks: a survey (2002, background): “Fault tolerance is the ability to sustain sensor network functionalities without any interruption due to sensor node failures [37] [55] [75].”
- Wireless Sensor Networks and Applications: a Survey (2007, methodology): “From [22], a sensor information networking architecture, called SINA, is introduced that facilitates querying, monitoring, and tasking of sensor networks.”
- Real-time communication and coordination in embedded sensor networks (2003, background): “A middleware implementation of the same general abstraction is also found in SINA [115], a sensor information networking architecture that abstracts the sensor network into a collection of distributed objects.”
- MNP: Multihop Network Reprogramming Service for Sensor Networks (2005, methodology): “This approach, called in-network aggregation , is proposed in Directed Diffusion [12], and broadly used in almost all flat structured or cluster-based protocols, such as LEACH [13], SINA [14].”
- IMPROVING ON LEACH PROTOCOL OF WIRELESS SENSOR NETWORKS USING FUZZY LOGIC (2010, methodology): “Due to the achievement in low-power digital circuit and wireless communication, many applications of the WSN are developed and already been used in habitat monitoring, military object and object tracking [1].”