Bio-inspired, cross-layer protocol design for intrusion detection and identification in wireless sensor networks

Published studies have focused on the application of one bio-inspired or evolutionary computational method to the functions of a single protocol layer in a wireless ad hoc sensor network (WSN). In a novel departure from previous work, the cross-layer approach to WSN protocol design suggests applying a bio-inspired evolutionary computational method to the functions of each protocol layer to improve the intrusion detection identification (IDID) performance of a WSN cross-layer design beyond that of a single method assigned to only one layer's functions. A cross-layer design, embedding genetic algorithms, anti-phase synchronization, ant colony optimization, and a trust model based on quantized data reputation at the physical (PHY), medium access control (MAC), network, and application layers, respectively, is constructed. Simulation results demonstrate synergies among the bio-inspired methods of the proposed baseline design improve overall IDID performance of networks over that of a single computational method.