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Higher Throughput Maintenance Using Average Time Standard for Multipath Data Delivery Ad-hoc Network System

Journal: International Journal of Advanced Networking and Applications (Vol.6, No. 01)

Publication Date:

Authors : ; ; ; ; ;

Page : 2176-2183

Keywords : Median Multicast Reliable Data Delivery; Ad-hoc Network; Delivery Ratio; Average Time Standard; Time Scheduling; Throughput Level;

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Abstract

Wireless network has come out as one of the key enablers for reliable data delivery for different types of applications.Ad-hoc network consists of self-actuated node that collaborates in order to transfer the information. Trajectory-based Statistical Forwarding (TSF) method used optimal target point selection algorithm to forward packets in order to satisfy probability of packet delivery over multi-hopbut failed provide higher throughputon the multipath data delivery. TheVoid Aware Pressure Routing (VAPR) method used hop count and intensity information to build a directional data delivery system but performance of specialized geographic routing based multipath data delivery was not attained. To maintain the higher throughput level on ad-hoc network data delivery, Median Multicast Throughput Data Delivery (MMTDD) mechanism is proposed in thispaper.The basic idea of MMTDD mechanism is to divide a message into multiple shares and deliver them via multiple independent source paths to the destination. MMTDD mechanism with the average time standard takes the best threshold value for every data (i.e.,) packet partitioning by avoiding packet loss. By this means, MMTDD mechanism uses the Average Time Standard (ATS) to guarantee the required packet allocation with higher throughput level. With the application of ATS, the MMTDD mechanism derives the theoretical model by attainingapproximately 4% higher throughput level on the multipath data delivery in ad-hoc network.MMTDD mechanism makes use of time scheduling schemes to discover and maintain data delivery paths with minimal time consumption. Median Multicast in MMTDD mechanism used the balanced state flow model to deliver data on multiple paths and experiment is conducted on factors such as time consumption, data delivery rate,average delivery delay and throughput level.

Last modified: 2015-12-01 19:14:22