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dc.contributor.advisorArvind, D K
dc.contributor.advisorRobertson, Dave
dc.contributor.authorRadoi, Ion Emilian
dc.date.accessioned2017-07-17T14:55:06Z
dc.date.available2017-07-17T14:55:06Z
dc.date.issued2017-07-07
dc.identifier.urihttp://hdl.handle.net/1842/22861
dc.description.abstractThere is an emerging class of applications that require long-term tracking and monitoring of mobile entities for characterising their contexts and behaviours using data from wireless sensors. Examples include monitoring animals in their natural habitat over the annual cycle; tracking shipping containers and their handling during transit; and monitoring air quality using sensors attached to bicycles used in public sharing schemes. All applications within this class require the acquisition of sensor data tagged with spatio-temporal information and uploaded wirelessly. Currently there is no solution targeting the entire class of applications, only point solutions focused on specific scenarios. This thesis presents a complete solution (firmware and hardware) for applications within this class that consists of attaching mobile sensor nodes to the entities for tracking and monitoring their behaviour, and deploying an infrastructure of base-stations for collecting the data wirelessly. The proposed solution is more energy efficient compared to the existing solutions that target specific scenarios, offering a longer deployment lifetime with a reduced size and weight of the devices. This is achieved mainly by using the VB-TDMA low-power data upload protocol proposed in this thesis. The mobile sensor nodes, consisting of the GPS and radio modules among others, and the base-stations are powered by batteries, and the optimisation of their energy usage is of primary concern. The presence of the GPS module, in particular its acquisition of accurate time, is used by the VB-TDMA protocol to synchronise the communication between nodes at no additional energy costs, resulting in an energy-efficient data upload protocol for sparse networks of mobile nodes, that can potentially be out of range of base-stations for extended periods of time. The VB-TDMA and an asynchronous data upload protocol were implemented on the custom-designed Prospeckz-5-based wireless sensor nodes. The protocols’ performances were simulated in the SpeckSim simulator and validated in real-world deployments of tracking and monitoring thirty-two Retuerta wild horses in the Doñana National Park in Spain, and a herd of domesticated horses in Edinburgh. The chosen test scenario of long-term wildlife tracking and monitoring is representative for the targeted class of applications. The VB-TDMA protocol showed a significantly lower power consumption than other comparable MAC protocols, effectively doubling the battery lifetime. The main contributions of the thesis are the development of the VB-TDMA data upload protocol and its performance evaluation, along with the development of simulation models for performance analysis of wireless sensor networks, validated using data from the two real-world deployments.en
dc.language.isoenen
dc.publisherThe University of Edinburghen
dc.relation.hasversionI. E. Radoi, J. Mann, and D. K. Arvind "Performance Evaluation of the VB-TDMA Protocol for Long-term Tracking and Monitoring of Mobile Entities in the Outdoors". In Proceedings of the 11th ACM International Symposium on QoS and Security for Wireless and Mobile Networks (Q2SWinet), ACM, 2015.en
dc.relation.hasversionI. E. Radoi, J. Mann, and D. K. Arvind "Tracking and Monitoring Horses in theWild UsingWireless Sensor Networks". In Proceedings of the 11th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), IEEE, 2015.en
dc.relation.hasversionD. A. Crisan, I. E. Radoi and D. K. Arvind "CoAP-Mediated Hybrid Simulation and Visualisation Environment for Specknets". In Proceedings of the ACM SIGSIM Conference on Principles of Advanced Discrete Simulation (PADS), ACM, 2013.en
dc.relation.hasversionJ. Mann, I. E. Radoi, and D. Arvind, “Prospeckz-5 - a wireless sensor platform for tracking and monitoring of wild horses,” in Digital System Design (DSD), 2014 17th Euromicro Conference on, pp. 700–703, IEEE, 2014.en
dc.relation.hasversionI. E. Radoi, A. Shenoy, and D. Arvind, “Evaluation of routing protocols for internet-enabled wireless sensor networks,” in Proceedings of the Eighth International Conference on Wireless and Mobile Communications, Venice, Italy, pp. 24–29, IARIA, 2012.en
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/*
dc.subjectlong-term trackingen
dc.subjectmobile sensor nodesen
dc.subjectVB-TDMAen
dc.subjectGPSen
dc.subjectpower consumptionen
dc.subjectwireless sensor networksen
dc.titleLong-term tracking and monitoring of mobile entities in the outdoors using wireless sensorsen
dc.typeThesis or Dissertationen
dc.type.qualificationlevelDoctoralen
dc.type.qualificationnamePhD Doctor of Philosophyen


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