Protract Route Optimization in ZRP through Novel RA Approach

Author(s): Deepa Mehta*, Indu Kashyap, Sherin Zafar

Journal Name: International Journal of Sensors, Wireless Communications and Control

Volume 8 , Issue 1 , 2018

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Graphical Abstract:


Background and Objective: Affected by the recent developments in the high potential technological fields, the world is observing a tremendous rise in the popularity of wireless networks. Wireless networks provide the users with the advantage of experiencing interruption free computing services along with complete autonomy to freely travel to different locations. Adhoc Networks prove to be an effective solution for the users under crisis as they provide all the advantages provided by wireless networks even in the absence of any infrastructure.

Methods: The driving force behind the functioning of Adhoc Network is the Routing Protocol, which undertakes the charge of all the services needed for efficient transfer of data from one device to another. Zone Routing Protocol was assumed to be an effective routing protocol as compared to its purely Reactive and purely Proactive counterparts. However, various researches have proved that the flat protocol with highly overlapping zones requires a lot of storage for large networks due to the absence of aggregation of routing information resulting in an increase in memory requirement and inversely impacted performance.

Results and Discussion: This paper proposes an effective technique to aggregate the routes such that the superfluous route requests are avoided and reduction in control overhead is achieved along with the Performance Optimization.

Conclusion: This paper lastly compares the performance of ZRP-RA (Zone Routing Protocol-Route Aggregation) and ZRP. The simulation results discussed in this paper validate the novel RA based approach by optimizing the various QOS parameters.

Keywords: Optimization, route aggregation, ZRP, ZRP-RA, QOS, hybrid routing protocols.

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Article Details

Year: 2018
Page: [19 - 25]
Pages: 7
DOI: 10.2174/2210327908666180413154850
Price: $25

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