TRAffic Modelling for Sensor Network Optimisation and Development (TRAMSNOD)
Lead Research Organisation:
University of Strathclyde
Department Name: Electronic and Electrical Engineering
Abstract
This project will develop new mathematical and simulation models for traffic in wireless sensor networks. A range of traffic models will be developed / some will be specific to particular applications, while others will be more general in nature, capturing the behaviour of a variety of application types. Traffic information from existing projects will provide empirical input to our studies. Our traffic models will be used to assess existing wireless sensor network protocols in the light of scalability, quality of data, dependability of data, and other important performance aspects which are discussed below. Optimised and customised protocols will be developed, and some of these will be assessed in field trials.
People |
ORCID iD |
Ivan Andonovic (Principal Investigator) |
Publications
C. Michie
(2015)
Measurement of rumen motility using a triaxial gyroscopic
Christian Andrae (Co-Author)
(2009)
A priority based routing protocol for wireless sensor networks
Craig Michie (Author)
(2012)
oestrus detection in beef and dairy cattle
I Andonovic
(2009)
Implementation of Herd Management System With Wireless Sensor Networks
I Andonovic
(2009)
Wireless Telemetry for Livestock Condition Monitoring
I Andonovic
(2009)
Evolution and Applications of Wireless Sensor Networks
Kwong Mae Hsiang
(2012)
Practical considerations for wireless sensor networks in cattle monitoring applications
in COMPUTERS AND ELECTRONICS IN AGRICULTURE
Description | The foundation understanding generated by this project formed the basis of a solution which in turn resulted in a spin-out which was subsequently sold for £5million in 2016. |
Sector | Agriculture, Food and Drink |
Impact Types | Societal,Economic |
Company Name | Embedded Technology Solutions (Silent Herdsman) Ltd. |
Description | ETS provides wireless sensor network based decision support solutions that indicate various animal health states which in turn improve the efficiency of operations within the farming sector. |