Probabilistic Linda-Based Coordination Languages

Formal Methods for Components and Objects - Lecture Notes in Computer Science ◽

10.1007/11561163_6 ◽

2005 ◽

pp. 120-140 ◽

Cited By ~ 3

Author(s):

Alessandra Di Pierro ◽

Chris Hankin ◽

Herbert Wiklicky

Keyword(s):

Coordination Languages

Download Full-text

Proceedings 11th International Workshop on Foundations of Coordination Languages and Self Adaptation

Electronic Proceedings in Theoretical Computer Science ◽

10.4204/eptcs.91.0 ◽

2012 ◽

Vol 91 ◽

Author(s):

Natallia Kokash ◽

António Ravara

Keyword(s):

International Workshop ◽

Coordination Languages ◽

Self Adaptation

Download Full-text

Sensing as a Service for the Internet of Things

International Journal of Recent Contributions from Engineering Science & IT (iJES) ◽

10.3991/ijes.v4i3.6087 ◽

2016 ◽

Vol 4 (3) ◽

pp. 28

Author(s):

Omar Subhi Aldabbas

Keyword(s):

Internet Of Things ◽

Cost Effective ◽

Sensor Data ◽

Detection Accuracy ◽

Heterogeneous Services ◽

Coordination Languages ◽

Spatio Temporal ◽

Temporal Events ◽

New Applications ◽

Common Application

Internet of Things (IoT) is a ubiquitous embedded ecosystem known for its capability to perform common application functions through coordinating resources, which are distributed on-object or on-network domains. As new applications evolve, the challenge is in the analysis and usage of multimodal data streamed by diverse kinds of sensors. This paper presents a new service-centric approach for data collection and retrieval. This approach considers objects as highly decentralized, composite and cost effective services. Such services can be constructed from objects located within close geographical proximity to retrieve spatio-temporal events from the gathered sensor data. To achieve this, we advocate Coordination languages and models to fuse multimodal, heterogeneous services through interfacing with every service to achieve the network objective according to the data they gather and analyze. In this paper we give an application scenario that illustrates the implementation of the coordination models to provision successful collaboration among IoT objects to retrieve information. The proposed solution reduced the communication delay before service composition by up to 43% and improved the target detection accuracy by up to 70%, while maintaining energy consumption 20% lower than its best rivals in the literature.

Download Full-text