Objectives: To develop a new multipath load sharing algorithm using channels sensing, node energy level analysis and malicious node detection. It aims at finding an efficient load sharing technique that gives better throughput delivery, less delay and security for data transformation. Methods/Analysis: A channel sensing between the nodes is performed to measure the signal to noise ratio and reject the path if the noise strength is greater than the signal strength. Prior energy level analysis is done for consistent data transmission over a period of time without any interrupt. A watchdog timer method is adopted for malicious node identification and removal. Findings: The quality of service in MANETs has been improved such as throughput has been increased 15% and packet delivery ratio has been increased 20% and the overall delay has been minimized 27%. Conclusion/Application: We proposed an efficient best path selection load sharing algorithm, which involves channel sensing, node energy level analysis and malicious node removal for security concern.
Keywords
Attacks, Channel Awareness, Channel Sensing, Load Sharing, Malicious, Noisy Path
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