An energy-efficient inter-organizational wireless sensor data collection framework

Chang, C, Loke, S, Dong, H, Salim, F, Srirama, S, Liyanage, M and Ling, S 2015, 'An energy-efficient inter-organizational wireless sensor data collection framework', in John A. Miller and Hong Zhu (ed.) 22nd IEEE International Conference on Web Services, New York, United States, 27 June - 2 July 2015, pp. 639-646.


Document type: Conference Paper
Collection: Conference Papers

Title An energy-efficient inter-organizational wireless sensor data collection framework
Author(s) Chang, C
Loke, S
Dong, H
Salim, F
Srirama, S
Liyanage, M
Ling, S
Year 2015
Conference name 22nd IEEE International Conference on Web Services
Conference location New York, United States
Conference dates 27 June - 2 July 2015
Proceedings title 22nd IEEE International Conference on Web Services
Editor(s) John A. Miller and Hong Zhu
Publisher IEEE
Place of publication United States
Start page 639
End page 646
Total pages 8
Abstract Internet of Things (IoT) represents a cyberphysical world where physical things are interconnected on the Web. This paper presents an architecture designed for Energy-efficient Inter-organizational wireless sensor data collection Framework (EnIF). Environmental monitoring and urban sensing are two major application scenarios in IoT. Different from the traditional sensor environments, environmental sensing in IoT may require battery-powered nodes to perform the sensing tasks. Such a requirement raises a critical challenge to ensure that sensor data gathering can be collected in a timely and energy-efficient manner. Although numerous energy-efficient approaches for IoT scenarios have been proposed, previous works assumed the entire network was managed by a single organization in which the network establishment and communication have been pre-configured. This assumption is inconsistent with the fact that IoT is established in a federated network with heterogeneous devices controlled by different organizations. The aim of the framework is to enable a dynamic interorganizational collaborative topology towards saving energy from data transmissions using a service-oriented architecture.
Subjects Interorganisational Information Systems and Web Services
Keyword(s) web services
wireless sensor network
Internet of Things
crowdsensing
DOI - identifier 10.1109/ICWS.2015.90
Copyright notice © 2015 IEEE
ISBN 9781467372725
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