Practical mobile ad hoc networks for large scale cattle monitoring

This thesis is concerned with identification of realistic requirements for the cattle monitoring system and design of the practical architecture addressing these requirements. Automated monitoring of cattle with wireless monitoring devices mounted on the animals can increase efficiency of cattle production, decrease its reliance on human labour and thus increase its profitability. Multi-hop ad hoc wireless communication has the potential to increase battery life of the animal mounted devices, decrease their size and combat disconnections. This thesis reveals that no current approach sufficiently addresses energy constrains of the animal mounted devices and potential disconnections. We propose a delay tolerant store and forward architecture that provides data retention, detecting custom events, issues notifications, answers remote and in-situ queries, based on requirements identified during field experiments we conducted. This architecture utilizes fixed infrastructure but also works in ad hoc infrastructureless conditions. The core of the proposed architecture, Mobile Ad Hoc Network (MANET) communication, provides offloading data for long term storage by sending data to farm servers via sinks that are a part of MANET and handles in-situ queries issued by users collocated with the animals. The proposed MANET routing algorithm addresses high mobility of nodes and disconnections. It provides lower and more balanced energy usage, shorter delays and increased success ratio of delivering answers to in-situ queries than more generic existing approaches. Problems of large scale deployment of the envisaged system are also addressed. We discuss the necessary configuration process performed during the system installation as well as pervasive mobile and home access to the target system. We propose cost efficient strategies for sinks installation and connecting sinks to farm servers, adaptive to different requirements, estates layout, available infrastructure and existing human and vehicle mobility. We also propose a cost efficient security model for the target system based on public key cryptography

Design of implicit routing protocols for large scale mobile wireless sensor networks

Strathclyde theses - ask staff. Thesis no. : T13189Most developments in wireless sensor networks (WSNs) routing protocols address static network scenarios. Schemes developed to manage mobility in other mobile networking implementations do not translate effectively to WSNs as the system design parameters are markedly different. Thus this research focuses on the issues of mobility and scalability in order to enable the full potential of WSNs to self-organise and co-operate and in so doing, meet the requirements of a rich mix of applications. In the goal of designing efficient, reliable routing protocols for large scale mobile WSN applications, this work lays the foundation by firstly presenting a strong case supported by extensive simulations, for the use of implicit connections. Then two novel implicit routing protocols - Virtual Grid Paging (VGP) and Virtual Zone Registration and Paging (VZRP) - that treat packet routing from node mobility and network scalability viewpoints are designed and analysed. Implicit routing exploits the connection availability and diversity in the underlying network to provide benefits such as fault tolerance, overhead control and improvement in QoS (Quality of Service) such as delay. Analysis and simulation results show that the proposed protocols guarantee significant improvement, delivering a more reliable, more efficient and better network performance compared with alternatives.Most developments in wireless sensor networks (WSNs) routing protocols address static network scenarios. Schemes developed to manage mobility in other mobile networking implementations do not translate effectively to WSNs as the system design parameters are markedly different. Thus this research focuses on the issues of mobility and scalability in order to enable the full potential of WSNs to self-organise and co-operate and in so doing, meet the requirements of a rich mix of applications. In the goal of designing efficient, reliable routing protocols for large scale mobile WSN applications, this work lays the foundation by firstly presenting a strong case supported by extensive simulations, for the use of implicit connections. Then two novel implicit routing protocols - Virtual Grid Paging (VGP) and Virtual Zone Registration and Paging (VZRP) - that treat packet routing from node mobility and network scalability viewpoints are designed and analysed. Implicit routing exploits the connection availability and diversity in the underlying network to provide benefits such as fault tolerance, overhead control and improvement in QoS (Quality of Service) such as delay. Analysis and simulation results show that the proposed protocols guarantee significant improvement, delivering a more reliable, more efficient and better network performance compared with alternatives

Keberkesanan program simulasi penapis sambutan dedenyut terhingga (FIR) terhadap kefahaman pelajar kejuruteraan elektrik

Kefahaman merupakan aset bagi setiap pelajar. Ini kerana melalui kefahaman pelajar dapat mengaplikasikan konsep yang dipelajari di dalam dan di luar kelas. Kajian ini dijalankan bertujuan menilai keberkesanan program simulasi penapis sambutan dedenyut terhingga (FIR) terhadap kefahaman pelajar kejuruteraan elektrik FKEE, UTHM dalam mata pelajaran Pemprosesan Isyarat Digital (DSP) bagi topik penapis FIR. Metodologi kajian ini berbentuk kaedah reka bentuk kuasi�eksperimental ujian pra-pasca bagi kumpulan-kumpulan tidak seimbang. Seramai 40 responden kajian telah dipilih dan dibahagi secara rawak kepada dua kllmpulan iaitu kumpulan rawatan yang menggunakan program simulasi penapis FIR dan kumpulan kawalan yang menggunakan kaedah pembelajaran berorientasikan modul pembelajaran DSP UTHM. Setiap responden menduduki dua ujian pencapaian iaitu ujian pra dan ujian pasca yang berbentuk kuiz. Analisis data berbentuk deskriptif dan inferens dilakllkan dengan menggunakan Peri sian Statistical Package for Social Science (SPSS) versi 11.0. Dapatan kajian menunjukkan kedua-dua kumpulan pelajar telah mengalami peningkatan dari segi kefahaman iaitu daripada tahap tidak memuaskan kepada tahap kepujian selepas menggunakan kaedah pembelajaran yang telah ditetapkan bagi kumpulan masing-masing. Walaubagaimanapun, pelajar kumpulan rawatan menunjukkan peningkatan yang lebih tinggi sedikit berbanding pelajar kumpulan kawalan. Namun begitu, dapatan kajian secara ujian statistik menunjukkan tidak terdapat perbezaan yang signifikan dari segi pencapaian markah ujian pasca di antara pelajar kumpulan rawatan dengan pelajar kumpulan kawalan. Sungguhpun begitu, penggunaan program simulasi penapis FIR telah membantu dalam peningkatan kefahaman pelajar mengenai topik penapis FIR

A group-based architecture and protocol for wireless sensor networks

There are many works related to wireless sensor networks (WSNs) where authors present new protocols with better or enhanced features, others just compare their performance or present an application, but this work tries to provide a different perspective. Why don¿t we see the network as a whole and split it into groups to give better network performance regardless of the routing protocol? For this reason, in this thesis we demonstrate through simulations that node¿s grouping feature in WSN improves the network¿s behavior. We propose the creation of a group-based architecture, where nodes have the same functionality within the network. Each group has a head node, which defines the area in which the nodes of such group are located. Each node has a unique node identifier (nodeID). First group¿s node makes a group identifier (groupID). New nodes will know their groupID and nodeID of their neighbors. End nodes are, physically, the nodes that define a group. When there is an event on a node, this event is sent to all nodes in its group in order to take an appropriate action. End nodes have connections to other end nodes of neighboring groups and they will be used to send data to other groups or to receive information from other groups and to distribute it within their group. Links between end nodes of different groups are established mainly depending on their position, but if there are multiple possibilities, neighbor nodes could be selected based on their ability ¿, being ¿ a choice parameter taking into account several network and nodes parameters. In order to set group¿s boundaries, we can consider two options, namely: i) limiting the group¿s diameter of a maximum number of hops, and ii) establishing boundaries of covered area. In order to improve the proposed group-based architecture, we add collaboration between groups. A collaborative group-based network gives better performance to the group and to the whole system, thereby avoiding unnecessary message forwarding and additional overheads while saving energy. Grouping nodes also diminishes the average network delay while allowing scaling the network considerably. In order to offer an optimized monitoring process, and in order to offer the best reply in particular environments, group-based collaborative systems are needed. They will simplify the monitoring needs while offering direct control. Finally, we propose a marine application where a variant of this groupbased architecture could be applied and deployed.García Pineda, M. (2013). A group-based architecture and protocol for wireless sensor networks [Tesis doctoral]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/27599TESISPremios Extraordinarios de tesis doctorale

Cost-Effective Implementation of a Temperature Traceability System Based on Smart RFID Tags and IoT Services

[EN] This paper presents the design and validation of a traceability system, based on radio frequency identification (RFID) technology and Internet of Things (IoT) services, intended to address the interconnection and cost-implementation problems typical in traceability systems. The RFID layer integrates temperature sensors into RFID tags, to track and trace food conditions during transportation. The IoT paradigm makes it possible to connect multiple systems to the same platform, addressing interconnection problems between different technology providers. The cost-implementation issues are addressed following the Data as a Service (DaaS) billing scheme, where users pay for the data they consume and not the installed equipment, avoiding the big initial investment that these high-tech solutions commonly require. The developed system is validated in two case scenarios, one carried out in controlled laboratory conditions, monitoring chopped pumpkin. Another case, carried out in a real scenario, monitors oranges sent from Valencia, Spain to Cork, Ireland.Urbano, O.; Perles, A.; Pedraza, C.; Rubio-Arraez, S.; Castelló Gómez, ML.; Ortolá Ortolá, MD.; Mercado Romero, R. (2020). Cost-Effective Implementation of a Temperature Traceability System Based on Smart RFID Tags and IoT Services. Sensors. 20(4):1-19. https://doi.org/10.3390/s20041163119204Aung, M. M., & Chang, Y. S. (2014). Traceability in a food supply chain: Safety and quality perspectives. Food Control, 39, 172-184. doi:10.1016/j.foodcont.2013.11.007Bosona, T., & Gebresenbet, G. (2013). Food traceability as an integral part of logistics management in food and agricultural supply chain. Food Control, 33(1), 32-48. doi:10.1016/j.foodcont.2013.02.004Bechini, A., Cimino, M. G. C. A., Marcelloni, F., & Tomasi, A. (2008). Patterns and technologies for enabling supply chain traceability through collaborative e-business. Information and Software Technology, 50(4), 342-359. doi:10.1016/j.infsof.2007.02.017Badia-Melis, R., Mishra, P., & Ruiz-García, L. (2015). Food traceability: New trends and recent advances. A review. Food Control, 57, 393-401. doi:10.1016/j.foodcont.2015.05.005Timestrip Visual Indicators of Time and Temperaturehttps://timestrip.com/Storøy, J., Thakur, M., & Olsen, P. (2013). The TraceFood Framework – Principles and guidelines for implementing traceability in food value chains. Journal of Food Engineering, 115(1), 41-48. doi:10.1016/j.jfoodeng.2012.09.018Pizzuti, T., Mirabelli, G., Sanz-Bobi, M. A., & Goméz-Gonzaléz, F. (2014). Food Track & Trace ontology for helping the food traceability control. Journal of Food Engineering, 120, 17-30. doi:10.1016/j.jfoodeng.2013.07.017Landt, J. (2005). The history of RFID. IEEE Potentials, 24(4), 8-11. doi:10.1109/mp.2005.1549751Costa, C., Antonucci, F., Pallottino, F., Aguzzi, J., Sarriá, D., & Menesatti, P. (2012). A Review on Agri-food Supply Chain Traceability by Means of RFID Technology. Food and Bioprocess Technology, 6(2), 353-366. doi:10.1007/s11947-012-0958-7Mainetti, L., Mele, F., Patrono, L., Simone, F., Stefanizzi, M. L., & Vergallo, R. (2013). An RFID-Based Tracing and Tracking System for the Fresh Vegetables Supply Chain. International Journal of Antennas and Propagation, 2013, 1-15. doi:10.1155/2013/531364Figorilli, S., Antonucci, F., Costa, C., Pallottino, F., Raso, L., Castiglione, M., … Menesatti, P. (2018). A Blockchain Implementation Prototype for the Electronic Open Source Traceability of Wood along the Whole Supply Chain. Sensors, 18(9), 3133. doi:10.3390/s18093133Aguzzi, J., Sbragaglia, V., Sarriá, D., García, J. A., Costa, C., Río, J. del, … Sardà, F. (2011). A New Laboratory Radio Frequency Identification (RFID) System for Behavioural Tracking of Marine Organisms. Sensors, 11(10), 9532-9548. doi:10.3390/s111009532Donelli, M. (2018). An RFID-Based Sensor for Masonry Crack Monitoring. Sensors, 18(12), 4485. doi:10.3390/s18124485De Souza, P., Marendy, P., Barbosa, K., Budi, S., Hirsch, P., Nikolic, N., … Davie, A. (2018). Low-Cost Electronic Tagging System for Bee Monitoring. Sensors, 18(7), 2124. doi:10.3390/s18072124Corchia, L., Monti, G., & Tarricone, L. (2019). A Frequency Signature RFID Chipless Tag for Wearable Applications. Sensors, 19(3), 494. doi:10.3390/s19030494Zuffanelli, S., Aguila, P., Zamora, G., Paredes, F., Martin, F., & Bonache, J. (2016). A High-Gain Passive UHF-RFID Tag with Increased Read Range. Sensors, 16(7), 1150. doi:10.3390/s16071150Monteleone, S., Sampaio, M., & Maia, R. F. (2017). A novel deployment of smart Cold Chain system using 2G-RFID-Sys temperature monitoring in medicine Cold Chain based on Internet of Things. 2017 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI). doi:10.1109/soli.2017.8120995Zou, Z., Chen, Q., Uysal, I., & Zheng, L. (2014). Radio frequency identification enabled wireless sensing for intelligent food logistics. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 372(2017), 20130313. doi:10.1098/rsta.2013.0313Azzarelli, J. M., Mirica, K. A., Ravnsbæk, J. B., & Swager, T. M. (2014). Wireless gas detection with a smartphone via rf communication. Proceedings of the National Academy of Sciences, 111(51), 18162-18166. doi:10.1073/pnas.1415403111Pies, M., Hajovsky, R., & Ozana, S. (2014). Wireless measurement of carbon monoxide concentration. 2014 14th International Conference on Control, Automation and Systems (ICCAS 2014). doi:10.1109/iccas.2014.6987843Azzara, A., Bocchino, S., Pagano, P., Pellerano, G., & Petracca, M. (2013). Middleware solutions in WSN: The IoT oriented approach in the ICSI project. 2013 21st International Conference on Software, Telecommunications and Computer Networks - (SoftCOM 2013). doi:10.1109/softcom.2013.6671886Ribeiro, A. R. L., Silva, F. C. S., Freitas, L. C., Costa, J. C., & Francês, C. R. (2005). SensorBus. Proceedings of the 3rd international IFIP/ACM Latin American conference on Networking - LANC ’05. doi:10.1145/1168117.1168119Sulc, V., Kuchta, R., & Vrba, R. (2010). IQRF Smart House - A Case Study. 2010 Third International Conference on Advances in Mesh Networks. doi:10.1109/mesh.2010.17Porkodi, R., & Bhuvaneswari, V. (2014). The Internet of Things (IoT) Applications and Communication Enabling Technology Standards: An Overview. 2014 International Conference on Intelligent Computing Applications. doi:10.1109/icica.2014.73EPC Radio-Frequency Identity Protocols. Generation-2 UHF RFIDhttps://www.gs1.org/sites/default/files/docs/epc/uhfc1g2_2_0_0_standard_20131101.pdfUusitalo, M. (2006). Global Vision for the Future Wireless World from the WWRF. IEEE Vehicular Technology Magazine>, 1(2), 4-8. doi:10.1109/mvt.2006.283570Sung, J., Lopez, T. S., & Kim, D. (2007). The EPC Sensor Network for RFID and WSN Integration Infrastructure. Fifth Annual IEEE International Conference on Pervasive Computing and Communications Workshops (PerComW’07). doi:10.1109/percomw.2007.113Chunxiao Fan, Zhigang Wen, Fan Wang, & Yuexin Wu. (2011). A middleware of Internet of Things (IoT) based on ZigBee and RFID. IET International Conference on Communication Technology and Application (ICCTA 2011). doi:10.1049/cp.2011.0765Centenaro, M., Vangelista, L., Zanella, A., & Zorzi, M. (2016). Long-range communications in unlicensed bands: the rising stars in the IoT and smart city scenarios. IEEE Wireless Communications, 23(5), 60-67. doi:10.1109/mwc.2016.7721743Hai Liu, Bolic, M., Nayak, A., & Stojmenovic, I. (2008). Taxonomy and Challenges of the Integration of RFID and Wireless Sensor Networks. IEEE Network, 22(6), 26-35. doi:10.1109/mnet.2008.4694171Bertolini, M., Bevilacqua, M., & Massini, R. (2006). FMECA approach to product traceability in the food industry. Food Control, 17(2), 137-145. doi:10.1016/j.foodcont.2004.09.013Zhang, M., & Li, P. (2012). RFID Application Strategy in Agri-Food Supply Chain Based on Safety and Benefit Analysis. Physics Procedia, 25, 636-642. doi:10.1016/j.phpro.2012.03.137Engels, D. W., Kang, Y. S., & Wang, J. (2013). On security with the new Gen2 RFID security framework. 2013 IEEE International Conference on RFID (RFID). doi:10.1109/rfid.2013.6548148SINIEV: Un Centro Inteligente De Control De Tránsito Y Transporte Que Beneficiaría A Todo El Paíshttps://revistadelogistica.com/actualidad/siniev-un-centro-inteligente-de-control-de-transito-y-transporte-que-beneficiara-a-todo-el-pais/Tentzeris, M. M., Kim, S., Traille, A., Aubert, H., Yoshihiro, K., Georgiadis, A., & Collado, A. (2013). Inkjet-printed RFID-enabled sensors on paper for IoT and “Smart Skin” applications. ICECom 2013. doi:10.1109/icecom.2013.6684749Vega, F., Pantoja, J., Morales, S., Urbano, O., Arevalo, A., Muskus, E., … Hernandez, N. (2016). An IoT-based open platform for monitoring non-ionizing radiation levels in Colombia. 2016 IEEE Colombian Conference on Communications and Computing (COLCOM). doi:10.1109/colcomcon.2016.7516379Yang, K., & Jia, X. (2011). Data storage auditing service in cloud computing: challenges, methods and opportunities. World Wide Web, 15(4), 409-428. doi:10.1007/s11280-011-0138-0Alfian, G., Rhee, J., Ahn, H., Lee, J., Farooq, U., Ijaz, M. F., & Syaekhoni, M. A. (2017). Integration of RFID, wireless sensor networks, and data mining in an e-pedigree food traceability system. Journal of Food Engineering, 212, 65-75. doi:10.1016/j.jfoodeng.2017.05.008Chen, R.-Y. (2015). Autonomous tracing system for backward design in food supply chain. Food Control, 51, 70-84. doi:10.1016/j.foodcont.2014.11.004Song, J., Wei, Q., Wang, X., Li, D., Liu, C., Zhang, M., & Meng, L. (2018). Degradation of carotenoids in dehydrated pumpkins as affected by different storage conditions. Food Research International, 107, 130-136. doi:10.1016/j.foodres.2018.02.024Montesano, D., Rocchetti, G., Putnik, P., & Lucini, L. (2018). Bioactive profile of pumpkin: an overview on terpenoids and their health-promoting properties. Current Opinion in Food Science, 22, 81-87. doi:10.1016/j.cofs.2018.02.003Rubio-Arraez, S., Capella, J. V., Castelló, M. L., & Ortolá, M. D. (2016). Physicochemical characteristics of citrus jelly with non cariogenic and functional sweeteners. Journal of Food Science and Technology, 53(10), 3642-3650. doi:10.1007/s13197-016-2319-4Carmona, L., Alquézar, B., Marques, V. V., & Peña, L. (2017). Anthocyanin biosynthesis and accumulation in blood oranges during postharvest storage at different low temperatures. Food Chemistry, 237, 7-14. doi:10.1016/j.foodchem.2017.05.07