Search

This paper suggests an obstacle avoidance scheme that enables a group of micro-UAV (Unmanned Aerial Vehicles) to avoid colliding with an obstacle that is found in the course of the flight. This scheme considers a method for UAVs to avoid colliding with such obstacles and a plan of action for when the UAVs in the group lose connectivity during flight. The main goal is for UAVs to reach the target without colliding with any obstacles. To achieve this goal, directly after the UAVs avoid the obstacle at a raised altitude above it, they fly at a higher altitude for a while and then descend to their original height. When this approach is judged to be inefficient because the height of the obstacle is too high, the UAV s divide into two groups and move to either side of it while continuing to fly at the same altitude, thereby avoiding the obstacle. Afterwards, they gather into one group again. We verify the proposed scheme and do the performance evaluation by ns-2. [ABSTRACT FROM AUTHOR]

Since hash functions are cryptography's most widely used primitives, efficient hardware implementation of hash functions is of critical importance. The proposed high performance hardware implementation of the hash functions used sponge construction which generates desired length digest, considering two key design metrics: throughput and power consumption. Firstly, this paper introduces unfolding transformation which increases the throughput of hash function and pipelining and parallelism design techniques which reduce the delay. Secondly, we propose a frequency trade-off technique which can give us a scope of frequency value for making a trade-off between low dynamic power consumption and high throughput. Finally, we use load-enable based clock gating scheme to eliminate wasted toggle rate of signals in the idle mode of hash encryption system. We demonstrated the proposed design techniques by using 45 nm CMOS technology at 10 MHz. The results show that we can achieve up to 47.97 times higher throughput, 6.31% delay reduction, and 13.65% dynamic power reduction. [ABSTRACT FROM AUTHOR]