Emerging security-aware packet scheduling algorithms can efficiently improve the security measures while forwarding the packets over wireless links. Existing scheduling algorithms for real-time wireless networks are not capable of providing higher level of security. The proposed methodology overcomes the difficulties in the existing scheduling algorithm with the security enhancements. A multilevel queue scheduling algorithm is used to partition the ready queue into several separate queues.For security reasons, the proposed methodology uses the RSA algorithm for encrypting and decrypting the packets. The proposed Security-aware Packet Scheduling (SPS) methodology strives to improve the security levels while achieving high schedulability for real-time packets. The proposed model reduces the congestion occurred during scheduling the packets.The performance of the proposed method results better security than the existing Quality Based Searching algorithm. Also, the system takes lesser time, reduces congestion and traffic also provides higher arrival rate for scheduling the packets.
ABTRACTWireless networks are growing rapidly. TCP is the most widely-used protocol on Internet and so optimizing TCP performance is very important for fast efficient data transfer. The different existing TCP variants and solutions they have not been analyzed together to identify the bottlenecks in wireless networks. TCP has a major problem in its congestion control algorithm which does not allow the flow to achieve the full available bandwidth on fast long-distance links. This problem has been studied in this study using a new high speed congestion control TCP protocol based on the Newton Raphson algorithm This study further analyses involving six TCP performance evaluation constraints namely, TCP full bandwidth utilization, throughput, packet loss rate, fairness in sharing bandwidth, friendliness in short-RTT and long-RTT and these constraints are used to evaluate the proposed Newton Raphson Congestion Control (NRC-TCP) performance. This study shows that the proposed algorithm performs better compared with the other methods of application.
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