Analysis of the Possibility of Emission Reduction for Complex WSN Networks by the Implementation of a Larger Number of Acquisition Nodes

• Autorzy: Bujnowski S. , Marciniak B. , Ledziński D. , Maszewski M. , Lutowski Z.

Identyfikatory

DOI

10.1515/ipc-2017-0011

• Języki publikacji: EN

Abstrakty

EN

The article presents the results of simulations conducted on the network which has been implemented in one of the cities with dense urban development. The simulations were conducted to verify how the lowering of the emission (this affected the topology of the network) of the network will affect the network reliability and time of the data collection.

Słowa kluczowe

EN

emission reduction; WSN network; low power transmission networks

• Wydawca: Instytut Telekomunikacji i Informatyki Uniwersytetu Technologiczno-Przyrodniczego w Bydgoszczy
• Czasopismo: Image Processing & Communications
• Rocznik: 2017
• Tom: Vol. 22, no. 2
• Strony: 39--48
• Opis fizyczny: Bibliogr. 12 poz., rys., tab.

Twórcy

autor

Bujnowski S.

• Institute of Telecommunications and Computer Science, UTP University of Science and Technology in Bydgoszcz

autor

Marciniak B.

• Institute of Telecommunications and Computer Science, UTP University of Science and Technology in Bydgoszcz

autor

Ledziński D.

• Institute of Telecommunications and Computer Science, UTP University of Science and Technology in Bydgoszcz

autor

Maszewski M.

• Institute of Telecommunications and Computer Science, UTP University of Science and Technology in Bydgoszcz

autor

Lutowski Z.

• Institute of Telecommunications and Computer Science, UTP University of Science and Technology in Bydgoszcz

Bibliografia

• [1] Akkaya, K., Younis, M. (2005). A survey on routing protocols for wireless sensor networks. Ad hoc networks, 3(3), 325-349
• [2] Boryna, B., Dubalski, B., Kiedrowski, P., Zabłudowski, A. (2010). Errors Nature in Indoors Low Power 433 MHz Wireless Network. In Image Processing and Communications Challenges 2 (pp. 373-378). Springer, Berlin, Heidelberg
• [3] Gaca, M. (2015). Raport Inteligentny Rozwój Miasta, 2015 r.
• [4] Gong, G., Wang, X., Zhu, J. (2012). A new WSN-Based routing optimization in smart distribution grid. In Advances in Computer Science and Information Engineering (pp. 289-294). Springer, Berlin, Heidelberg
• [5] Kiedrowski, P. (2015). Toward more efficient and more secure last mile smart metering and smart lighting communication systems with the use of PLC/RF hybrid technology. International Journal of Distributed Sensor Networks, 11(10), 1-9
• [6] Łukasiewicz, H. (2011). Teoretyczne i praktyczne aspekty militarnego zastosowania sieci sensorów bezprzewodowych. Zeszyty Naukowe/WSOWL im. gen. T. Kościuszki, 7-27
• [7] Science & Technology Review. (2017). http://www.llnl.gov/str/JulAug01/Hills.html [8] Sikora, A. (2015). Modelowanie i symulacja rozproszona mobilnych sieci ad-hoc., (Doctoral dissertation). Politechnika Warszawska
• [9] Raghavendra, C.S., Sivalingam, K.M., Znati, T. (Eds.). (2006). Wireless sensor networks. Springer
• [10] Xu, X., Zhong, M. (2014). Wireless body sensor networks with cloud computing capability for pervasive healthcare: Research directions and possible solutions. In Frontier and Future Development of Information Technology in Medicine and Education (pp. 979-988). Springer, Dordrecht
• [11] Zabłudowski, Ł. (2015). Zwiększenie niezawodno ści transmisji w sieciach WSN w warunkach niskiej emisyjności węzłów, (Doctoral dissertation), UTP Bydgoszcz
• [12] Zabłudowski, Ł., Marciniak, B., Lutowski, Z., Bujnowski, S. (2015). Quality Parameters in Wireless Distributed Control Systems. In Solid State Phenomena (Vol. 223, pp. 231-237). Trans Tech Publications