Date/Time
Date(s) - 10/11/2016
4:00 pm - 5:30 pm
Location
IBM Lab
Categories
Sharing channel capacity among sensors or synonymously packing the bandwidth while satisfying quality of service requirements stays as an important challenge. We present bio-inspired solutions to this problem by reducing it to the NP-hard multiple-choice knapsack problem. We employ various bio-inspired population-based meta-heuristics to allocate capacity to the requesting nodes in a sensor network. In this work in-progress paper, we present the controlled lab experiments for determining the capacity of a wireless channel and then discuss the feasibility of meta-heuristic solutions. The run-time and closeness to the optimal solutions results are presented and discussed. Artificial bee colony optimization provides the fastest solution although the convergence rate per generation is slower.