Indian Journal of Science and Technology
Year: 2016, Volume: 9, Issue: 37, Pages: 1-14
I. Vijaya1 *, Amiya Kumar Rath2 , Bhagabat Puthal3 , Debahuti Mishra4 and S. Satapathy5
1 Department of Computer Science and Engineering, Siksha ‘O’ Anusandhan University, Bhubaneswar - 751030, Odisha, India; [email protected]
2 Department of Computer Science and Engineering and IT, V.S.S.U.T, Burla - 768018, Odisha, India; [email protected]
3 Department of Computer Science and Engineering Retired Professor, IGIT, Sarang - 759146, Odisha, India; [email protected]
4 Department of Computer Science and Engineering, Siksha ‘O’ Anusandhan University, Bhubaneswar - 751030, Odisha, India; [email protected]
5 Department of Computer Science and Engineering, Siksha ‘O’ Anusandhan University, Bhubaneswar - 751030, Odisha, India; [email protected]
*Author for correspondence
Department of Computer Science and Engineering
Email: [email protected]
Objectives: A network is group of devices that are connected to each other called as nodes. The nodes can be mobile or static. The performance of mobile Adhoc wireless networks (MANETs) helps to identify the type of applications that are supported by the network. Our objective is Performance analysis of QoS parameters of MANETs on Mobility & Energy based Model with Routing Protocols. Method/Analysis: The various network scenarios of MANETS are simulated using NS2.35. Protocols used to analyze performance are AODV, DSDV and DSR. Network layer parameters (throughput, packet delivery ratio, normalized routing overhead and average end-to-end delay) are evaluated. Network scenarios are generated through variation in pause time and number of nodes. Area of simulation is formed in 600*600 m*m area. Findings/ Results: The mobiles devices in the network get connected only when there is a demand for it. The reactive gateway discovery algorithm is used in AODV and DSR. With the random movement of nodes in the simulated area (direction) and variation in mobility, the delay and packet drop increases but PDR and throughput decreases. There is a significant differential observed while measuring the performance. Our observation with respect to DSR was it reacted well for two parameters delivery ratio and routing overhead. Average delay was less in AODV and DSDV performed well providing loop free path. Conclusion: After the simulation study and all experimental evaluations we can conclude that the DSR protocol dominates all other protocols like AODV and DSDV. The Dynamic Source Routing protocol in mobility and energy based model for throughput, packet delivery ratio performs well than AODV and DSDV. The adverse result is with the increase of node speed, routing overhead increased for DSR. Positive aspect of DSR was that average energy consumption was quite low in contrast to AODV and DSDV.
Keywords: Average Energy Consumption, Average End-To-End Delay, MANET, Normalized Routing Overhead, Packet Delivery Ratio, Throughput
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