Refine your search
Collections
Co-Authors
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Chin, Renee Ka Yin
- Fuzzy Logic Based Energy Efficient Protocol in Wireless Sensor Networks
Abstract Views :200 |
PDF Views:0
Authors
Affiliations
1 Modeling, Simulation & Computing Laboratory, Material & Mineral Research Unit School of Engineering and Information Technology, Universiti Malaysia Sabah, MY
2 Modeling, Simulation & Computing Laboratory, Material & Mineral Research Unit School of Engineering and Information Technology, Universiti Malaysia Sabah, MY
1 Modeling, Simulation & Computing Laboratory, Material & Mineral Research Unit School of Engineering and Information Technology, Universiti Malaysia Sabah, MY
2 Modeling, Simulation & Computing Laboratory, Material & Mineral Research Unit School of Engineering and Information Technology, Universiti Malaysia Sabah, MY
Source
ICTACT Journal on Communication Technology, Vol 3, No 4 (2012), Pagination: 639-645Abstract
Wireless sensor networks (WSNs) have been vastly developed due to the advances in microelectromechanical systems (MEMS) using WSN to study and monitor the environments towards climates changes. In environmental monitoring, sensors are randomly deployed over the interest area to periodically sense the physical environments for a few months or even a year. Therefore, to prolong the network lifetime with limited battery capacity becomes a challenging issue. Low energy adaptive cluster hierarchical (LEACH) is the common clustering protocol that aim to reduce the energy consumption by rotating the heavy workload cluster heads (CHs). The CHs election in LEACH is based on probability model which will lead to inefficient in energy consumption due to least desired CHs location in the network. In WSNs, the CHs location can directly influence the network energy consumption and further affect the network lifetime. In this paper, factors which will affect the network lifetime will be presented and the demonstration of fuzzy logic based CH selection conducted in base station (BS) will also be carried out. To select suitable CHs that will prolong the network first node dies (FND) round and consistent throughput to the BS, energy level and distance to the BS are selected as fuzzy inputs.Keywords
Wireless Sensor Network, Cluster Head, First Node Dies, Fuzzy Logic.
- Sumo Enhancement for Vehicular Communication Development
Abstract Views :253 |
PDF Views:3
Authors
Affiliations
1 Simulation and Computing Laboratory, Universiti Malaysia Sabah, MY
1 Simulation and Computing Laboratory, Universiti Malaysia Sabah, MY
Source
ICTACT Journal on Communication Technology, Vol 8, No 4 (2017), Pagination: 1625-1632Abstract
It is normal that every family is having at least one vehicle at their home as vehicles have become a daily needs for all of us. However, this also leads to the increased of road accidents where major causes are related to human errors which can be prevented. To tackle with this problem, vehicular ad hoc network (VANET) is introduced with the aim to make vehicles intelligent. In order to study the algorithm in VANET, a mobility simulator is needed for simulation purpose. In this case, SUMO is proved to be a good simulation tool in generating VANET environment while MATLAB is good for algorithm development. Yet, to develop a good simulation platform, modification on SUMO files are necessary. This paper discusses on the procedures in creating a left-hand traffic (LHT) simulation file that is suitable to be used in Malaysia. LHT simulation is not easy to achieve as modification on the road connection and traffic light files are required. This paper also showed the results of the simulation after SUMO files modification. Apart from that, this paper also showed the simulation of VANET environment using SUMO and MATLAB through a third party interfacing named TraCI4Matlab, which allows communication between MATLAB and SUMO simulator.Keywords
Mobility Simulator, SUMO, MATLAB, SUMO Files Modification.References
- O. Olarte, “Human Error Accounts for 90% of Road Accidents”, Available: http://www.alertdriving.com/home/fleet-alert-magazine/international/human-error-accounts-90-road-accidents, Accessed on 2016.
- M.Y. Choong, R.K.Y. Chin, K.B. Yeo and K.T.K. Teo, “Trajectory Clustering for Behavioral Pattern Learning in Transportation Surveillance”, Proceedings of 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology, pp. 119-123, 2014.
- M.Y. Choong, R.K.Y. Chin, K.B. Yeo and K.T.K. Teo, “Trajectory Pattern Mining via Clustering based on Similarity Function for Transportation Surveillance”, International Journal of Simulation: Systems, Science and Technology, Vol. 17, No. 34, pp. 191-197, 2016.
- M.Y. Choong, L. Angeline, R.K.Y. Chin, K.B. Yeo and K.T.K. Teo, “Vehicle Trajectory Clustering for Traffic Intersection Surveillance”, Proceedings of IEEE International Conference on Consumer Electronics, pp. 783-787, 2016.
- H.S.E. Chuo, M.K. Tan, B.L. Chua, R.K.Y. Chin and K.T.K. Teo, “Computation of Cell Transmission Model for Congestion and Recovery Traffic Flow”, Proceedings of IEEE International Conference on Consumer Electronics, pp. 667-671, 2016.
- K.T.K. Teo, K.B. Yeo, S.E. Tan, Z.W. Siew and K.G. Lim, “Design and Development of Portable Fuzzy Logic based Traffic Optimizer”, Proceedings of IEEE International Conference on Consumer Electronics, pp. 783-776, 2013.
- K.T.K. Teo, K.B. Yeo, Y.K. Chin, H.S.E. Chuo and M.K. Tan, “Agent-based Traffic Flow Optimization at Multiple Signalized Intersections”, Proceedings of 8th Asia International Conference on Mathematical Modelling and Computer Simulation, pp. 459-463, 2014.
- C.H. Lee, K.G. Lim, B.L. Chua, R.K.Y. Chin and K.T.K. Teo, “Progressing Toward Urban Topology and Mobility Trace for Vehicular Ad Hoc Network (VANET)”, Proceedings of IEEE Conference on Open Systems, pp. 343-346, 2016.
- V. Kumar, S. Mishra and N. Chand, “Applications of VANETs: Present and Future”, Computer Science and Communications, Vol. 5, No. 1, pp. 12-15, 2013.
- C.H. Lee, K.G. Lim, B.L. Chua, R.K.Y. Chin and K.T.K. Teo, “Performance Evaluation of IEEE 802.11 for Vehicular Communication”, Proceedings of IEEE International Conference on Consumer Electronics, pp. 743-747, 2016.
- C. Sommer, I. Dietrich and F. Dressler, “Realistic Simulation of Network Protocols in VANET Scenarios”, Proceedings of International Conference on Mobile Networking for Vehicular Environments, pp. 117-119, 2007.
- H. Hartenstein and K.P. Laberteaux, “A Tutorial Survey on Vehicular Ad Hoc Network”, IEEE Communications Magazine, Vol. 46, No. 6, pp. 164-171, 2008.
- M.K. Patel, “Comparative Study of Vehicular Ad-hoc Network Mobility Models and Simulators”, International Journal of Computer Applications, Vol. 47, No. 6, pp. 38-43, 2012.
- P.S.I. Ltd, Available at: http://www.paramics-online.com/, Accessed on 2016.
- M. Tsis-Corsim, Available at: http://mctrans.ce.ufl.edu/featured/TSIS/, Accessed on 2012.
- I.O.T. Systems, Available at: http://www.dlr.de/ts/en/desktopdefault.aspx/tabid-9883/16931_read-41000/, Accessed on 2016.
- K.G. Lim, C.H. Lee, R.K.Y. Chin, K.B. Yeo and K.T.K. Teo, “Simulators for Vehicular Ad Hoc Network (VANET) Development”, Proceedings of IEEE International Conference on Consumer Electronics, pp. 913-917, 2016.
- R.L. Bertini, R. Lindgren and S. Tantiyanugulchai, “Applications of Paramics Simulation at a Diamond Interchange”, Research Report, Portland State University, 2002.
- P.V. Martin Fellendorf, “Validation of the Microscopic Traffic Flow Model VISSIM in Different Real-World Situations”, Proceedings of Annual Meeting on Transportation Research, pp. 171-175, 2001.
- W. Lu, W. Feng and L. Huang, “Integrated Simulation Platform of VISSIM, VS++ and MATLAB”, Proceedings of 5th International Conference on Transportation Engineering, pp. 221-224, 2015.
- L.E. Owen, Y. Zhang, L. Rao and G. McHale, “Street and Traffic Simulation: Traffic Flow Simulation using CORSIM”, Proceedings of 32nd Conference on Winter Simulation, pp. 443-447, 2000.
- C. Somme, I. Dietrich and F. Dressler, “Realistic Simulation of Network Protocols in VANET Scenarios”, Proceedings of International Conference on Mobile Networking for Vehicular Environments, pp. 1117-1119, 2007.
- D. Krajzewicz, J. Erdmann, M. Behrisch and L. Bieker, “Recent Development and Applications of SUMO- Simulation of Urban Mobility”, International Journal on Advances in Systems and Measurements, Vol. 5, No. 3-4, pp. 128-138, 2012.
- T. MathWorks, Available at: http://www.mathworks.com/matlabcentral/fileexchange/41832-vanet-node-roadside-unit-scenario-simulations, Accessed on 2013.
- TraCI4Matlab: User's Manual, Available at: https://in.mathworks.com/matlabcentral/fileexchange/44805-traci4matlab?requestedDomain=www.mathworks.com
- M.K. Tan, H.S.E. Chuo, R.K.Y. Chin, K.B. Yeo and K.T.K. Teo, “Optimization of Urban Traffic Network Signalization using Genetic Algorithm”, Proceedings of IEEE Conference on Open Systems, pp. 943-946, 2016.
- M.K. Tan, H.S.E. Chuo, R.K.Y. Chin, K.B. Yeo and K.T.K. Teo, “Genetic Algorithm based Signal Optimizer for Oversaturated Urban Signalized Intersection”, Proceedings of IEEE International Conference on Consumer Electronics, pp. 945-949, 2016.
- K.T.K. Teo, R.K.Y. Chin, S.E. Tan, C.H. Lee and K.G. Lim, “Exploration of Genetic Algorithm in Network Coding for Wireless Sensor Networks”, International Journal of Simulation: Systems, Science and Technology, Vol. 15, No. 6, pp. 83-89, 2014.
- K.T.K. Teo, R.K.Y. Chin, S.E. Tan, C.H. Lee and K.G. Lim, “Performance Analysis of Enhanced Genetic Algorithm based Network Coding in Wireless Networks”, Proceedings of 8th Asia International Conference on Mathematical Modelling and Computer Simulation, pp. 49-53, 2014.
- Hybrid Simulation Network for Vehicular Ad Hoc Network (Vanet)
Abstract Views :206 |
PDF Views:3
Authors
Affiliations
1 Simulation and Computing Laboratory, Universiti Malaysia Sabah, MY
1 Simulation and Computing Laboratory, Universiti Malaysia Sabah, MY
Source
ICTACT Journal on Communication Technology, Vol 9, No 1 (2018), Pagination: 1686-1695Abstract
Intelligent Transportation Systems (ITS) plays a vital role in providing different means of traffic management and enables users to be better informed of traffic condition, promoting safer, coordinated and efficient use of transport network. Vehicular Ad Hoc Network (VANET) shows promising reliability and validity in ITS. But, it poses challenges to researchers in designing protocol specifically for VANET as the deployment of VANET in real world will incur high cost. Therefore, simulation and non-physical testbed implementation have been widely adopted by the VANET research community in the development and assessment of the new or improved system and protocol of VANET. This paper presents a viable simulation platform for network development. Besides, a code cast or better known as network coding, a data packet transmission method has been developed and introduced into VANET protocol using the presented platform to assess and determine the potential of the introduced simulation platform.Keywords
Vehicular Ad hoc Network, Traffic Simulation, Network Simulation, Intelligent Transportation System, Network Coding.References
- M. Seredynski, G. Danoy, M. Tabatabaei, P. Bouvry and Y. Pigne, “Generation of Realistic Mobility for VANETs using Genetic Algorithms”, Proceedings of IEEE Congress on Evolutionary Computation, pp. 334-337, 2012.
- F. Cunha, L. Villas, A. Boukerche, G. Maia, A. Viana, R.A.F. Mini and A.A.F. Loureiro, “Data Communication in VANETs: Protocols, Applications and Challenges”, Ad Hoc Networks, Vol. 44, pp. 90-103, 2016.
- P. Vijayakumar, M. Azees, A. Kannan and L.J. Deborah, “Dual Authentication and Key Management Techniques for Secure Data Transmission in Vehicular Ad Hoc Network”, IEEE Transactions on Intelligent Transportation Systems, Vol. 17, No. 4, pp. 1015-1028, 2016.
- S. Djahel, R. Doolan, G.M. Muntean and J. Murphy, “A Communications-Oriented Perspective on Traffic Management Systems for Smart Cities: Challenges and Innovative Approaches”, IEEE Communications Surveys and Tutorials, Vol. 17, No. 1, pp. 125-151, 2015.
- K.T.K. Teo, R.K.Y. Chin, S.E. Tan, C.H. Lee and K.G. Lim, “Performance Analysis of Enhanced Genetic Algorithm based Network Coding in Wireless Networks”, Proceedings of 8th Asia Modelling Symposium, pp. 213-218, 2014.
- S.E. Tan, H.T. Yew, M.S. Arifianto, I. Saad and K.T.K. Teo, “Queue Management for Network Coding in Ad Hoc Networks”, Proceedings of 3rd International Conference on Intelligent Systems Modelling and Simulation, pp. 657-662, 2012.
- P. Kumar, R. Merzouki, B. Conrard and V. Coelen, “Multilevel Modeling of the Traffic Dynamic”, IEEE Transactions on Intelligent Transportation Systems, Vol. 15, No. 3, pp. 1066-1082, 2014.
- T. Mantoro and M. Reza, “Performance analysis of AODV and DSDV using SUMO, MOVE and NS2”, Proceedings of International Conference on Informatics and Computing, pp. 372-376, 2016.
- D.F. Allan and A.M. Farid, “A Benchmark Analysis of Open Source Transportation-Electrification Simulation Tools”, Proceedings of 18th IEEE International Conference on Intelligent Transportation Systems, pp. 1202-1208, 2015.
- A.K.H Souley and S. Cherkaoui, “Advanced Mobility Models for Ad Hoc Network Simulations”, Proceedings of IEEE International Conference on Systems Communications, pp. 50-55, 2015.
- Y.S. Chia, Z.W. Siew, H.T. Yew, S.S. Yang and K.T.K. Teo, “An Evolutionary Algorithm for Channel Assignment Problem in Wireless Mobile Networks”, ICTACT Journal on Communication Technology, Vol. 3, No. 4, pp. 613-618, 2012.
- S.E. Tan, Z.W. Siew, Y.K. Chin, S.C.K. Lye and K.T.K. Teo, “Minimizing Network Coding Nodes in Multicast Tree Construction Via Genetic Algorithm”, Proceedings of 4th International Conference on Computational Intelligence, Communication Systems and Networks, pp. 399-404, 2012.
- C.C. Lin, L.C. Hu, K.H. Hsu and H.H. Li, “On the Performance of Vehicular Group Communications in IEEE 1609/802.11(p) Networks”, Proceedings of IEEE Vehicular Technology Conference, pp. 1-5, 2011.
- K.A. Rahman and K.E. Tepe, “Towards A Cross-Layer Based Mac for Smooth V2V and V2I Communications for Safety Applications in DSRC/Wave Based Systems”, Proceedings of IEEE Symposium on Intelligent Vehicles, pp. 969-973, 2014.
- K. Bilstrup, E. Uhlemann, E.G. Strom and U. Bilstrup, “Evaluation of the IEEE 802.11p MAC Method for Vehicle-to-Vehicle Communication”, Proceedings of International Conference on Vehicular Technology, pp. 1-5, 2008.