Computation on scheduling attacks and optimal resource utilisation in wireless sensor networks via optimisation techniques

Abstract

Security issues of wireless sensor nodes for classifying sensory data and its accuracy needed to prevent wastage of sensor resources. The limitation occurs due to processing of small-scale samples in training or data imbalance, which occurs due to nodal density. In this context, pre-processing of sensor data to overcome scheduling attacks considered with two algorithms is proposed. The first is 'Time Stamp Reordering for Scheduling Attack' (TSRSA) and the second is 'Energy Efficiency based Routing using Simulated Annealing' (EERSA). The former is susceptible to scheduling attacks, whereas the later alleviate this by using simulated annealing. EERSA method provides optimal moves as data traverses using energy bound values, time-bound transitions using propagation delay and offset values. The simulation of both developed protocols measured and compared for misalignment ratio and consolidated residual energy.