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

conference contribution
posted on 2024-10-31, 18:33 authored by Chii Chang, Seng Loke, Hai DongHai Dong, Flora SalimFlora Salim, Saitsh Srirama, Mohan Liyanage, Sea Ling
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.

History

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  1. 1.
    DOI - Is published in 10.1109/ICWS.2015.90
  2. 2.
    ISBN - Is published in 9781467372725 (urn:isbn:9781467372725)

Start page

639

End page

646

Total pages

8

Outlet

22nd IEEE International Conference on Web Services

Editors

John A. Miller and Hong Zhu

Name of conference

22nd IEEE International Conference on Web Services

Publisher

IEEE

Place published

United States

Start date

2015-06-27

End date

2015-07-02

Language

English

Copyright

© 2015 IEEE

Former Identifier

2006053654

Esploro creation date

2020-06-22

Fedora creation date

2015-07-22

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