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The impact of selected parameters on the performance of routing protocols in wireless sensor networks

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EN
Abstrakty
EN
The aim of the article was to compare the effectiveness of the selected routing protocols for wireless sensor networks taking In to account a number of specific parameters as network troughput, packet error rate and message buffer capacity for different network topologies. The simulation research was conducted in open source OMNeT++ environment. In order to achieve the assumed requirements, four different-sized network topologies were established and AODV and DYMO routing protocols were adapted.
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Twórcy
  • Kazimierz Wielki University, Bydgoszcz, Poland
  • Poznan University of Technology, Poznan, Poland
autor
  • Poznan University of Technology, Poznan, Poland
  • Poznan University of Technology, Poznan, Poland
Bibliografia
  • [1] Akyildiz, I.F., Wang, X. (2009). Wireless mesh networks (Vol. 3). John Wiley & Sons
  • [2] Frost & Sullivan. (2004). Wireless sensors and integrated wireless sensor networks. Frost & Sullivan Technical Insights
  • [3] Santi, P. (2005). Topology control in wireless ad hoc and sensor networks. ACM computing surveys (CSUR), 37(2), 164-194
  • [4] Perkins, C., Belding-Royer, E., Das, S. (2003). Ad hoc on-demand distance vector (AODV) routing (No. RFC 3561).
  • [5] Perkins, C.E., Bhagwat, P. (1994, October). Highly dynamic destination-sequenced distance vector routing (DSDV) for mobile computers. In ACM SIGCOMM computer Communications review (Vol. 24, No. 4, pp. 234-244). ACM
  • [6] Chakeres I.D., Perkins C.E. (2010, October) Dynamic MANET on Demand (DYMO) Routing Protocol. Internet-Draft Version 06, IETF
  • [7] Bisoyi, S.K., Sahu,S.(2010).Performance analysis of Dynamic MANET On-demand (DYMO) Routing protocol. Special Issue of IJCCT, 1(2), 3 (2017).
  • [8] (2017). INET Framework: An open-source OMNeT++ model suite for wired, wireless and mobile networks. https://inet.omnetpp.org/
  • [9] Musznicki B., Zwierzykowski P. (2015). PerformanceEvaluation of Flooding AlgorithmsforWireless Sensor Networks Based on EFFISEn: The Custom-Made Simulator. In Simulation Technologies in Networking and Communications: Selecting the Best Tool for the Test. A. K. Pathan, M. M. Monowar and S. Khan (Eds.), CRC Press, Taylor and Francis Group, 433-458
  • [10] Prokopowicz P. (2013). Flexible and Simple Methods of Calculations on Fuzzy Numbers with the Ordered Fuzzy Numbers Model. In Artificial Intelligence and Soft Computing, L. Rutkowski et al.,Eds. Proc. of ICAISC 2013, Zakopane, Poland, Part I. LNAI, 7894, 365-375
  • [11] Glabowski M., Musznicki B., Nowak P., Zwierzykowski P. (2014). An Algorithm for Finding Shortest Path Tree Using Ant Colony Optimization Metaheuristic. in Image Processing and Communications Challenges 5, R. S. Choras, Ed. Advances in Intelligent Systems and Computing, 233, 317–326
  • [12] Bartczak T., Zwierzykowski P. (2014). Lightweight PIM - a New Multicast Routing Protocol. in Int. JournalofCommunicationSystems,27,(10): 14411458
  • [13] Piechowiak, M., Zwierzykowski, P., Stachowiak, K., Bartczak, T. (2014, July). Quality of multicast trees in ad-hoc networks with topology control. In Communication Systems, Networks & Digital Signal Processing (CSNDSP), 2014 9th International Symposium on (pp. 7-11). IEEE.
  • [14] Piechowiak M., Zwierzykowski P. (2015). How to Simulate and Evaluate Multicast Routing Algorithms. in Simulation Technologies in Networking and Communications: Selecting the Best Tool for the Test, eds. A. K. Pathan, M. M. Monowar, S. Khan, CRC Press, pp. 229-264
  • [15] Perkins C., Belding-Royer E., Das S. (2003, July). Ad hoc On-Demand Distance Vector (AODV) Routing. IETF. RFC 3561.
Uwagi
PL
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).
Typ dokumentu
Bibliografia
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