Abstract
An accurate planning and dimensioning of the network parameters and resources is paramount for the overall system to behave as expected. This is particularly important when there are more demanding quality-of-service requirements to be met, namely related to the correct and timely execution of the tasks and transmission of messages. This chapter outlines a set of analytical and simulation models and tools to help the system designer to setup and fine tune all relevant settings and parameters, as well as to anticipate hardware problems and identify the network behavior and its performance limits.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsNotes
- 1.
On [31], $TOSROOT/apps/tests/tkn154/packetsniffer.
References
Z. Hu, B. Li, Fundamental performance limits of wireless sensor networks. in Ad Hoc and Sensor Networks, ed. by Y. Xian, Y. Pan (Nova Science Publishers, New York, USA, 2004)
P. Jurčík, Real-time Communication over Cluster-tree Wireless Sensor Networks (Department of Control Engineering, Faculty of Electrical Engineering, Czech Technical University in Prague, Czech Republic in collaboration with CISTER-ISEP Research Unit, Polytechnic Institute of Porto, Portugal, Prague, Ph.d. Programme on Electrical Engineering and Information Technology, 2010)
Institute of Electrical and Electronics Engineers, Inc., New York. IEEE Std. 802.15.4-2006, IEEE Standard for Information Technology—Telecommunications and Information Exchange between Systems—Local and Metropolitan Area Networks—Specific Requirements Part 15.4: Wireless Medium Access Control (MAC) and Physical Layer (PHY) Specifications for Low-Rate Wireless Personal Area Networks (WPANs), 2006
A. Cunha, R. Severino, N. Pereira, A. Koubâa, M. Alves, Zigbee over tinyos: Implementation and experimental challenges. in Proceedings of the 8th Portuguese Conference on Automatic Control (CONTROLO), 2008, pp. 911–916
A. Cunha, A. Koubâa, R. Severino, M. Alves, Open-zb: An open source implementation of the IEEE 802.15.4/zigbee protocol stack on tinyos. in Proceedings of the 4th IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS), 2007
Tinyos working group, 2010. http://www.tinyos.net
P. Jurčík, Matlab tool for the worst-case dimensioning of IEEE 802.15.4/zigbee cluster-tree WSNs, 2009. http://www.open-zb.net
IEEE P802.15 Working Group for Wireless Personal Area Networks (WPANs). IEEE P802.15 Wireless Personal Area Networks—MAC and Security Baseline Proposal—Normative Text, 2010. [Online]. Available. https://mentor.ieee.org/802.15/dcn/10/15-10-0196-02-0006-mac-and-security-b aseline-proposal-c-normative-text-doc.doc
C.P. Singh, O.P. Vyas, M.K. Tiwari, A survey of simulation in sensor networks. In Proceedings of the 4th International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA), (2008), pp. 867–872
I. OPNET Technologies. The opnet modeler network simulator version 15.0.a, 2009
A. Koubâa, M. Alves, E. Tovar, Gts allocation analysis in IEEE 802.15.4 for real time wireless sensor networks. in Proceedings of the 14th Workshop on Parallel and Distributed Real Time Systems (WPDRTS), (2006)
P. Jurčík, A. Koubâa, IEEE 802.15.4/zigbee opnet simulation model v3.0, 2009. http://www.open-zb.net
ZigBee Alliance, ZigBee Document 053474r17, ZigBee Specification, 2008. http://www.zigbee.org
MEMSIC MPR2400CB, 2.4GHz MICAz Processor Board, datasheet (2013), http://www.memsic.com/wireless-sensor-networks
Memsic, TPR2420CA TelosB Mote May (2013), www.memsic.com/wireless-sensor-networks
P. Jurčík, A. Koubâa, The IEEE 802.15.4 opnet simulation model: Reference guide v2.0. Technical Report TR-070509, IPP-HURRAY Research Group, CISTER/ISEP, Polytechnic Institute of Porto, Portugal, 2009
National ict australia—castalia. [Online]. Available: http://castalia.npc.nicta.com.au/
Omnet++ network simulation framework. [Online]. Available: http://www.omnetpp.org
Castalia simulator—google groups. [Online]. Available:http://groups.google.com/group/castalia-simulator?pli=1
Castalia—a simulator for wireless sensor networks and body area networks, version 3.2 user’s manual. [Online]. Available: http://castalia.npc.nicta.com.au/pdfs/Castalia%E2%80%94UserManual.pdf
Texas instruments cc2420 2.4 ghz IEEE 802.15.4 / zigbee-ready rf transceiver. [Online]. Available: http://www.ti.com/lit/ds/symlink/cc2420.pdf
M. Zuniga, B. Krishnamachari, Analyzing the transitional region in low power wireless links. in First IEEE International Conference on Sensor and Ad hoc Communications and Networks (SECON), (Santa Clara, USA, 2004), pp. 517–526
Avrora—the avr simulation and analysis framework. [Online]. Available: http://compilers.cs.ucla.edu/avrora/
gnuplot homepage. [Online]. Available: http://www.gnuplot.info/
G. Montenegro, N. Kushalnagar, J. Hui, D. Culler, Transmission of IPv6 Packets Over IEEE 802.15.4 Networks. Internet proposed standard RFC 4944, 2007
T. Winter, P. Thubert, Rpl: Ipv6 routing protocol for low power and lossy networks. IETF Internet-Draft draft-dt-roll-rpl.txt., 3, 2010
A. Koubâa, S. Chaudhry, O. Gaddour, R. Chaari, N. Al-Elaiwi, H. Al-Soli, H. Boujelben, Z-monitor: Monitoring and analyzing IEEE 802.15.4-based wireless sensor networks. in 6th IEEE LCN Workshop on Network Measurements, in Conjunction with 36th IEEE Conference on Local Computer Networks (LCN 2011), 2011
Texas Instruments, SmartRF Protocol Packet Sniffer, http://www.ti.com/tool/packet-sniffer
D. Networks, Daintree sensor network analyzer (sna), 2009. http://www.daintree.net
Zena network analyzer. http://www.microchip.com
Main development repository for TinyOS May (2013), https://github.com/tinyos/tinyos-main
J. Ko, J. Eriksson, N. Tsiftes, S. Dawson-haggerty, A. Terzis, A. Dunkels, D. Culler, Contikirpl and tinyrpl: Happy together. in Proceedings of the workshop on Extending the Internet to Low power and Lossy, Networks IP+SN 2011, 2011
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2013 The Author(s)
About this chapter
Cite this chapter
Tennina, S. et al. (2013). Models and Tools. In: IEEE 802.15.4 and ZigBee as Enabling Technologies for Low-Power Wireless Systems with Quality-of-Service Constraints. SpringerBriefs in Electrical and Computer Engineering(). Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37368-8_3
Download citation
DOI: https://doi.org/10.1007/978-3-642-37368-8_3
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-37367-1
Online ISBN: 978-3-642-37368-8
eBook Packages: Physics and AstronomyPhysics and Astronomy (R0)