Browsing by Author "Vinaykumar, K."

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    Aggregate TCP congestion management for internet QoS
    (2012) Hemkumar, D.; Vinaykumar, K.
    In this project we study the one of the most important performance in aggregate congestion control is fairness, i.e. the equal use of resources. The objective of Aggregate TCP congestion management is to achieve the fair sharing of the bottleneck bandwidth between the aggregate and other background TCP flows. There are many existing mechanism to prove the fairness property but none of mechanism proves fair share of the aggregated flows even where the number of flows in the aggregate is large. To solve this problem, unlike existing mechanism there are two congestion window loops, one is that loss event rate loop and other one is throughput control loop. Throughput control loop is used to adjust its window size with a weight N. Finally our simulation results prove an algorithm providing for fairly services to TCP flows that share a bottleneck link between the aggregate and other background TCP flows even where the number of flows in the aggregate is large. � 2012 IEEE.
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    Motion tracking and data aggregation in distributed sensor networks using mobile agents
    (2005) Shivakumar, S.; Vinaykumar, K.
    In this paper a distributed, energy aware and collaborative approach for motion tracking and data aggregation in distributed sensor networks is proposed based on mobile agents. Proposed approach is simulated using network simulator (NS2) and the results are compared with that of the client-server model approach based on energy consumed for tracking and data aggregation. Results show that mobile agent based performs very much better than that of client server approach.
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    Motion tracking and data aggregation in distributed sensor networks using mobile agents
    (2005) Shivakumar, S.; Vinaykumar, K.
    In this paper a distributed, energy aware and collaborative approach for motion tracking and data aggregation in distributed sensor networks is proposed based on mobile agents. Proposed approach is simulated using network simulator (NS2) and the results are compared with that of the client-server model approach based on energy consumed for tracking and data aggregation. Results show that mobile agent based performs very much better than that of client server approach.