Transmission Protocol Simulation Framework For The Resource-Constrained Wireless Sensor Network

• Autorzy: Wójcikowski M.

Identyfikatory

DOI

10.1515/mms-2015-0019

• Języki publikacji: EN

Abstrakty

EN

In this paper a prototype framework for simulation of wireless sensor network and its protocols are presented. The framework simulates operation of a sensor network with data transmission, which enables simultaneous development of the sensor network software, its hardware and the protocols for wireless data transmission. An advantage of using the framework is converging simulation with the real software. Instead of creating a model of the sensor network node, the same software is used in real sensor network nodes and in the simulation framework. Operation of the framework is illustrated with examples of simulations of selected transactions in the sensor network.

Słowa kluczowe

EN

sensor network; computer simulations; sensor network protocols

• Wydawca: Komitet Metrologii i Aparatury Naukowej PAN
• Czasopismo: Metrology and Measurement Systems
• Rocznik: 2015
• Tom: Vol. 22, nr 2
• Strony: 221--228
• Opis fizyczny: Bibliogr. 20 poz., rys., wykr.

Twórcy

autor

Wójcikowski M.

• Gdańsk University of Technology, Faculty of Electronics, Telecommunications and Informatics, Narutowicza 11/12, 80-233 Gdańsk, Poland

Bibliografia

• [1] Akyildiz, I.F., Weilian, S., Sankarasubramaniam, Y., Cayirci, E. (2002). A survey on sensor networks. Communications Magazine, IEEE, 40(8), 102-114.
• [2] Karl, H., Willig, A. (2007). Protocol and Architecture for Wireless Sensor Networks. John Wiley and Sons, Ltd.
• [3] Stojmenovic, I. (2005). Handbook of Sensor Networks. John Wiley and Sons, Inc.
• [4] Yick, J., Mukherjee, B., Ghosal, D. (Aug. 2008). Wireless sensor network survey. Computer Networks, 52(12), 2292-2330.
• [5] Bojko, T. (2005). Smart Sensor Solutions for Mechanical Measurements and Diagnostics. Metrol. Meas. Syst., 12(1), 95-103.
• [6] Pereira, D.J.M., Viegas, V., Postolache, O., Girao, P.S. (2013). A Smart and Distributed Measurement System to Acquire and Analyze Mechanical Motion Parameters. Metrol. Meas. Syst., 20(3), 465-478.
• [7] The Network Simulator, ns-2. http://www.isi.edu/nsnam/ns
• [8] ns-3. http://www.nsnam.org
• [9] Scalable Simulation Framework (SSF). http://www.ssfnet.org
• [10] Global Mobile Information Systems Simulation Library (GloMoSim). http://pcl.cs.ucla.edu/projects/glomosim
• [11] Chen, G., Branch, J., Pflug, M., Zhu, L., Szymanski, B. (2005). Sense: A Wireless Sensor Network Simulator. Advances in Pervasive Computing and Networking, Springer US, 249-267.
• [12] Sobeih, A., Chen, W.P., Hou, J.C., Kung, L.C., Li, N., Lim, H., Tyan, H.Y., Zhang, H. (Aug. 2006). J-Sim: a simulation and emulation environment for wireless sensor networks. Wireless Communications, IEEE, 13(4), 104,119.
• [13] J-Sim. http://j-sim.cs.uiuc.edu
• [14] OMNET++ discrete event simulator. http://www.omnetpp.org
• [15] Levis, P., Lee, N., Welsg, M., Culler, D. (2003). TOSSIM: Accurate and Scalable Simulation of Entire TinyOS Applications. Proc. 1st ACM Int. Conf. Embedded Networked Sensor Systems (SenSys), Los Angeles, CA, 126-137.
• [16] TinyOS: Open-source operating system for wireless embedded sensor networks. http://www.tinyos.net
• [17] Polley, J., Blazakis, D., McGee, J., Rusk, D., Baras, J. S., Karir, M. (Oct. 2004). ATEMU: A Fine-grained Sensor Network Simulator. In Proc. 1st IEEE Int. Conf. Sensor and Ad-hoc Communications and Networks (SECON’04), Santa Clara, CA, 145-152.
• [18] Girod, L., Elson, J., Cerpa, A., Stathopoulos, T., Ramanathan, N., Estrin, D. (2004). EmStar: A software Environment for Developing and Deploying Wireless Sensor Networks. Proc. 2004 USENIX Technical Conference, Boston, MA, 283-296.
• [19] Egea-Lopez, E., Vales-Alonso, J., Martinez-Sala, A. S., Pavon-Marino, P., García-Haro, J. (Jul. 2005). Simulation tools for wireless sensor networks. Proc. Summer Simulation Multiconference-SPECTS.
• [20] Wójcikowski, M., Żaglewski, R., Pankiewicz, B., Kłosowski, M., Szczepański, S. (Apr. 2013). Hardware-Software Implementation of a Sensor Network for City Traffic Monitoring Using the FPGA- and ASIC-Based Sensor Nodes. Journal of Signal Processing Systems, 71(1), 57-73.