Information-centric sensor networks for cognitive IoT: an overview

Date

2017-02-01

Author

Al-Turjman, Fadi M.

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

304
views

0
downloads

Information-centric sensor networks (ICSNs) are a paradigm of wireless sensor networks that focus on delivering information from the network based on user requirements, rather than serving as a point-to-point data communication network. Introducing learning in such networks can help to dynamically identify good data delivery paths by correlating past actions and results, make intelligent adaptations to improve the network lifetime, and also improve the quality of information delivered by the network to the user. However, there are several factors and limitations that must be considered while choosing a learning strategy. In this paper, we identify some of these factors and explore various learning techniques that have been applied to sensor networks and other applications with similar requirements in the past. We provide our recommendation on the learning strategy based on how well it complements the needs of ICSNs, while keeping in mind the cost, computation, and operational overhead limitations.

Subject Keywords

Information-centric sensor networks, Reinforcement learning, QoI, Cognitive node

URI

https://hdl.handle.net/11511/63849

Journal

ANNALS OF TELECOMMUNICATIONS

DOI

https://doi.org/10.1007/s12243-016-0533-8

Collections

Department of Computer Engineering, Article

Suggestions

OpenMETU
Core

Real-time coordination and routing in wireless sensor and actor networks Shah, Ghalib A.; Bozyigit, Muslim; Akan, Ozgur B.; Baykal, Buyurman (2006-01-01) In Wireless Sensor Actor Networks (WSAN), sensor nodes perform the sensing task and actor nodes take action based on the sensed phenomena in the field. To ensure efficient and accurate operations of WSAN, new communication protocols are imperative to provide sensoractor coordination in order to achieve energy-efficient and reliable communication. Moreover, the protocols must honor the application-specific real-time delay bounds for the effectiveness of the actors in WSAN.
Immune system-based energy efficient and reliable communication in wireless sensor networks Atakan, Baris; Akan, Oezguer B. (2006-12-01) Wireless sensor networks (WSNs) are event-based systems that rely on the collective effort of densely deployed sensor nodes. Due to the dense deployment, since sensor observations are spatially correlated with respect to location of sensor nodes, it may not be necessary for every sensor node to transmit its data. Therefore, due to the resource constraints of sensor nodes, it is imperative to select the minimum number of sensor nodes to transmit the data to the sink. Furthermore, to achieve the application-s...
Rule-based in-network processing for event-driven applications in wireless sensor networks Şanlı, Özgür; Yazıcı, Adnan; Körpeoğlu, İbrahim; Department of Computer Engineering (2011) Wireless sensor networks are application-specific networks that necessitate the development of specific network and information processing architectures that can meet the requirements of the applications involved. The most important challenge related to wireless sensor networks is the limited energy and computational resources of the battery powered sensor nodes. Although the central processing of information produces the most accurate results, it is not an energy-efficient method because it requires a cont...
Learning Data Delivery Paths in QoI-Aware Information-Centric Sensor Networks Singh, Gayathri Tilak; Al-Turjman, Fadi M. (2016-08-01) In this paper, we envision future sensor networks to be operating as information-gathering networks in large-scale Internet-of-Things applications such as smart cities, which serve multiple users with diverse quality-of-information (QoI) requirements on the data delivered by the network. To learn data delivery paths that dynamically adapt to changing user requirements in this information-centric sensor network (ICSN) environment, we make use of cognitive nodes that implement both learning and reasoning in t...
Exploiting energy-aware spatial correlation in wireless sensor networks Shah, Ghalib A.; Bozyigit, Muslim (2007-01-12) Wireless sensor networks (WSNs) promise fine-grain monitoring in a wide variety of applications, which require dense sensor nodes deployment. Due to high density of nodes, spatially redundant or correlated data is generated. Redundancy increases the reliability level of information delivery but increases the energy consumption of the nodes too. Since energy conservation is a key issue for WSNs, therefore, spatial correlation can be exploited to deactivate some of the nodes generating redundant information. ...

Citation Formats

F. M. Al-Turjman, “Information-centric sensor networks for cognitive IoT: an overview,” ANNALS OF TELECOMMUNICATIONS, pp. 3–18, 2017, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/63849.