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Evaluation of AODV and DSR Routing Protocols of Wireless Sensor Networks for Monitoring Applications
Blekinge Institute of Technology, School of Computing.
Blekinge Institute of Technology, School of Computing.
2009 (English)Independent thesis Advanced level (degree of Master (Two Years))Student thesis
Abstract [en]

Deployment of sensor networks are increasing either manually or randomly to monitor physical environments in different applications such as military, agriculture, medical transport, industry etc. In monitoring of physical environments, the most important application of wireless sensor network is monitoring of critical conditions. The most important in monitoring application like critical condition is the sensing of information during emergency state from the physical environment where the network of sensors is deployed. In order to respond within a fraction of seconds in case of critical conditions like explosions, fire and leaking of toxic gases, there must be a system which should be fast enough. A big challenge to sensor networks is a fast, reliable and fault tolerant channel during emergency conditions to sink (base station) that receives the events. The main focus of this thesis is to discuss and evaluate the performance of two different routing protocols like Ad hoc On Demand Distance Vector (AODV) and Dynamic Source Routing (DSR) for monitoring of critical conditions with the help of important metrics like throughput and end-to-end delay in different scenarios. On the basis of results derived from simulation a conclusion is drawn on the comparison between these two different routing protocols with parameters like end-to-end delay and throughput.

Abstract [sv]

In all the three scenarios of small, large and very large networks AODV gives considerably less delay as compared to DSR. AODV outperforms DSR with prominent difference in delay. In terms of delay the network size has an impact on both AODV and DSR performance.  The throughput rate of AODV in small and large networks exceeds with a little margin than the throughput rate of DSR but in case of large networks the difference is prominent and AODV by far performs better than DSR.

Place, publisher, year, edition, pages
2009. , 47 p.
Keyword [en]
AODV Ad-hoc On Demand Distance Vector, APS Ad-hoc Positioning System, ATD Analog to Digital, ASYM Asymmetric, CPU Central Processing Unit, DD Directed Diffusion, DSR Dynamic Source Routing, EAR Energy Aware Routing, FTP File Transfer Protocol, GEAR Geographic and Energy Aware Routing, IC Integrated Circuit, MAC Medium Access Control, MECN Minimum Energy Communication Network, SMECN Small Minimum Energy Communication, MMSPEED Multi path and Multi Speed, OPNET Optimized Network Engineering Tool, QoS Quality of Service, RREQ Route Request, RREP Route Reply , SAR Sequential Assignment Routing, SYM Symmetric, TORA Temporally ordered Routing Algorithm, UART Universal Asynchronous Receive and transmit, WSN Wireless Sensor Network, WLAN Wireless Local Area Network
National Category
Signal Processing Probability Theory and Statistics Telecommunications
URN: urn:nbn:se:bth-6145Local ID: diva2:833573
Physics, Chemistry, Mathematics
+92-992382050Available from: 2015-04-22 Created: 2010-01-08 Last updated: 2015-06-30Bibliographically approved

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