Efficient Interference Prediction Using Bivariate Moment Generating Function in Mobile Ad Hoc Network
V Vaneetha, C. Vivekanandan · Journal of Computational and Theoretical Nanoscience · 2017
To improve the performance of Mobile ad hoc network (MANET), adequate time-varying interference prognoses can active adaptive design for transmission. Normally any inaccurate data transmissions are not identified initially after completion of data transmission that is detected, so lot of energy is wasted for communication. It misbehaves and affects the entire network performance. Proposed Inaccurate Packet Identification based on Pace allocation (IPPA) algorithm, if any Interference occurred that are identified by threshold value of node, node cross its threshold value, detects the attacks. Threshold value is fixed based on the battery level of all nodes process. In this work, time-varying interference can be evaluated at any period rather than considering it as long-term average effects. To enhance the network lifetime to attains mean value’s analytical results and in turn distance metric rate. The obtained simulation results authenticate the competent and accuracy of the missing data identification report and it reveals the reward of the scheme grand with the difficult Mobility. The analysis of the scheme provides better efficiency.