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20 40 60 80 100 120 140 160 180 90 91 92 93 94 95 96 97 98 99 100 rounds [-] percentage of alive nodes [-] Fig. 8. Percentage of live nodes during simulation. the guideline for the student and researchers that want to validate in Matlab environment own algorithm proposed for the WSN applications. We have showed how to proposed and visualize WSN topology and how to route data through the multihop paths. We have also proposed energy model that can be used for transformation of the communication cost to the energy consumption. The ideas in proposed energy model were supported by the analysis of the real Zigbee network. We notify, that only simplified energy model was stated here. The nodes spent most of time in the sleep mode and thus the significant attention should be devoted to this factor. A CKNOWLEDGMENT This paper was prepared within the framework of No. FRVS IS18049001 project of the Czech Ministry of Education, Youth and Sports and No. FRTI2/571 grant project of the Ministry of Industry and Trade of the Czech Republic R EFERENCES [1] P. Basu and J. Redi, “Effect of Overhearing Transmis- sions on Energy Efficiency in Dense Sensor Networks,”
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in IPSN ’04: Proceedings of the 3rd international sym- posium on Information processing in sensor networks . New York, NY, USA: ACM, 2004, pp. 196–204. [2] C. Bettstetter, “On the Minimum Node Degree and Connectivity of a Wireless Multihop Network,” in Mo- biHoc ’02: Proceedings of the 3rd ACM international symposium on Mobile ad hoc networking & computing . New York, NY, USA: ACM, 2002, pp. 80–91. [3] Daintree Networks. (2010) Sensor Net- work Analyzer(SNA)@ONLINE. [Online]. Available: [4] J. C. Hou, N. Li, and I. Stojmenovic, “Topology con- struction and maintanance in wireless sensor networks,” in Handbook of Sensor Networks: Algorithms and Archi- tectures , I. Stojmenovic, Ed. John Wiley and Sons, Sep. 2005, pp. 311–341. [5] Jennic., “Jennic Inc., Calculating 802.15.4 Data Rates,” 2006. [6] M. Koutny, J. Misurec, and P. Mlynek, “The new ap- proaches of a multicasting in the wireless sensor net- works,” in 33rd International Conference on TELECOM- MUNICATIONS AND SIGNAL PROCESSING TSP - 2010 . Budapest, Szent Istvn krt. 7.: Asszisztencia Szervezo Kft., 2010, pp. 342–345. [7] Memsic Technology Inc., “IRIS XM2110CA Data Sheet.” [Online]. Available: [8] I. Sergii. (2009) grTheory - Graph Theory Toolbox, MATLAB [email protected] [Online]. Available: [9] F. Shanin, Zigbee Wireless Networks and Transceivers . Oxford: Elsevier, 2008. [10] M. Simek. (2010) Low Power Wireless & Sensor [email protected] [Online]. Available: [11] ——, “Reference Node Selection for Anchor free Local- ization in Wireless Sensor Networks,” Ph.D. dissertation, Brno University of Technology, Purkynova 118, 612 00, Brno, Czech Republic, September 2010. [12] S. Singh and C. S. Raghavendra, “PAMAS—Power Aware Multi-Access Protocol with Signalling for Ad hoc Networks,” SIGCOMM Comput. Commun. Rev. , vol. 28, no. 3, pp. 5–26, 1998. [13] J. E. Wieselthier, G. D. Nguyen, and A. Ephremides, “On the Construction of Energy-Efficient Broadcast and Multicast Trees in Wireless Networks,” in INFOCOM 2000. Nineteenth Annual Joint Conference of the IEEE
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  • Wireless sensor network

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