Author(s): Pranav M. Pawar | Smita Shukla | Pranav Kulkarni | Adishri Pujari
Journal: BVICAM's International Journal of Information Technology
ISSN 0973-5658
Volume: 3;
Issue: 1;
Date: 2011;
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Keywords: Wireless Sensor Network (WSN) | Dynamic Source Routing (DSR) | Ad-Hoc On-demand Distance Vector (AODV) | energy efficiency | latency | throughput | fairness | NS-2 (network simulator-2)
ABSTRACT
Simulation and comparison of the routing protocols for network topology hold a significant position in the performance evaluation of wireless networks. This paper, discusses performance evaluation of Ad-hoc on demand Distance Vector (AODV) and Dynamic Source Routing (DSR), routing protocols for static WSN using NS-2. Energy efficiency, latency, throughput and fairness characteristics in different conditions are investigated under different load conditions on two-hop and multi-hop network. The comparison results reveal that AODV performs better in the network with strict requirement on time, whereas DSR is more adaptable in the networks with high throughputs and energy constraints.
Journal: BVICAM's International Journal of Information Technology
ISSN 0973-5658
Volume: 3;
Issue: 1;
Date: 2011;
VIEW PDF
DOWNLOAD PDF Original pageKeywords: Wireless Sensor Network (WSN) | Dynamic Source Routing (DSR) | Ad-Hoc On-demand Distance Vector (AODV) | energy efficiency | latency | throughput | fairness | NS-2 (network simulator-2)
ABSTRACT
Simulation and comparison of the routing protocols for network topology hold a significant position in the performance evaluation of wireless networks. This paper, discusses performance evaluation of Ad-hoc on demand Distance Vector (AODV) and Dynamic Source Routing (DSR), routing protocols for static WSN using NS-2. Energy efficiency, latency, throughput and fairness characteristics in different conditions are investigated under different load conditions on two-hop and multi-hop network. The comparison results reveal that AODV performs better in the network with strict requirement on time, whereas DSR is more adaptable in the networks with high throughputs and energy constraints.