Effect of Quality Parameters in Efficient Routing Protocol � Grid FSR with Best QoS Constraints
Author(s) -
S. NithyaRekha,
C. Chandrasekar,
R. Kaniezhil
Publication year - 2012
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/4584-6507
Subject(s) - computer science , grid , protocol (science) , quality of service , routing (electronic design automation) , quality (philosophy) , computer network , zone routing protocol , routing protocol , enhanced interior gateway routing protocol , distributed computing , dynamic source routing , medicine , mathematics , philosophy , alternative medicine , geometry , epistemology , pathology
Rapid advanced in information technology has made it possible to transmit the data in wireless links without the aid of any fixed infrastructure or centralized administrator. Wireless mobile ad hoc networks are self-creating, selfadministering and self-organizing entities. Thus a set of selfmotivated mobile wireless users is able to dynamically exchange data among themselves, even in the absence of a predetermined infrastructure and controller. In our research work, we present investigations on the behavior of the Proactive Routing Protocol FSR in the GRID by analysis of various parameters. The Performance metrics that are used to evaluate performance of the routing protocols are Packet Delivery Ratio (PDR), Network Control Overhead, Normalized Overhead, Throughput and Average End to End Delay. Experimental results reveal that FSR is more efficient in Grid FSR in all QOS constraints.FSR can be used in all Resource critical environments. Scalability in respect to QOS is effective in FSRlarge area routing protocol. Grid Fisheye state routing (GFSR) consumes less bandwidth by restricting the propagation of routing control messages in paths formed by alternating gateways and neighbor heads, and allowing the gateways to selectively include routing table entries in their control messages.PDR and Throughput are 100% efficient in Simulation Evaluation with NS2.
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