Energy-Efficient Internet of Things

Internet of Things (IoT) represents a cyber-physical world where physical things are interconnected on the Web. This research proposes 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 inter-organizational collaborative topology towards saving energy from data transmissions using a service-oriented architecture.


  • Chii Chang
  • Satish Narayana Srirama
  • Mohan Liyanage
  • Seng W. Loke, Pervasive Computing Laboratory, Department of Computer Science and Information Technology, La Trobe University, Australia.
  • Hai Dong, Sensors, Clouds, and Services Laboratory (SCSLab), Department of Computer Science and Information Technology, RMIT University, Australia.
  • Flora Salim, Department of Computer Science and Information Technology, RMIT University, Australia.
  • Sea Ling, Faculty of Information Technology, Monash University, Australia.


  • Chii Chang, Seng W. Loke, Hai Dong, Flora Salim, Satish N. Srirama, Mohan Liyanage and Sea Ling. An Energy-Efficient Inter-organizational Wireless Sensor Data Collection Framework. In Proceedings of the 22nd IEEE International Conference on Web Services (ICWS 2015). pp:639-646. June 27 – July 2, 2015, New York, USA.

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