Embedded Networked Sensing - EMNETS

BEng (Hons) Final Year Projects
Science and Technology Report


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Funding Agency: Enterprise Ireland – WISEN Industry Lead Research Programme
Principle Investigator: Dr Dirk Pesch
Research Staff: Rotislav Spinar
Postgraduate Students: Panneer Muthukumaran

Prof. C. J. Sreenan, MISL, UCC

Project Synopsis

Embedded NETworked Sensing is a national project funded by Enterprise Ireland as part of the WISEN Industry Led Research Programme (ILRP) (www.wisen-ireland.com). The project is led by Dr D. Pesch of the Centre for Adaptive Wireless Systems in collaboration with Prof. Cormac Sreenan of the Mobile and Internet System’s Lab at University College Cork. The objectives of the EMNETS project are to develop a flexible, standards compliant (IEEE802.15.4) based protocol stack for wireless sensor networks, to develop a lightweight, flexible middleware layer to support application development in sensor networks, to develop network management protocols for fault and performance management of wireless sensor networks, and to develop evaluation and demonstration tools for the developed technology.

The EMNETS project has developed an IEEE802.15.4 compatible MAC protocol – MeshMAC, which uses distributed beacon scheduling to support low-power mesh networking for IEEE802.15.4 based sensor networks. The network layer is based on the IETF’s 6lowPAN standard and suitable routing protocols for applications in the building energy management and control space are currently under investigation. The project team is currently working on an efficient networm management protocol to support fault and performance management of embedded wireless sensor networks. A lightweight middleware architecture has also been proposed by the project, Furthermore, the project has developed an extension of the UCLA Avrora Atmel AVR processor emulator to support the TI CC2420 chipset for IEEE802.15.4. This extension, AvroraZ provides a complete virtual machine for the Crossbow micaZ platform as well as the Tyndall sensor node platform.
Currently, the project maintains a wireless sensor network in the UCC Environmental Research Institute to evaluate the developed protocol stack and network and performance management approach