Cooperative Coalition Selection for Quality of Service Optimization in Cluster-Based Capillary Networks

Cooperative multiple-input-single-output (CMISO) scheme has been proposed in the literature to prolong the network lifetime in the cluster-based Internet of Things (IoT) systems. CMISO scheme increases the spatial diversity of wireless channels, however, it reduces the transmit power and thus degrades the quality of service (QoS) performance. In this paper, we formulate the problem of cooperative coalition selection for CMISO scheme to minimize the overall packet error rate (PER). Then, we propose to apply the qubit-based quantum-inspired particle swarm optimization (QPSO) to select the optimum cluster head (CH) and cooperative devices coalition. Simulation results proved that the qubit-based QPSO has faster convergence speed and outperforms
$\Psi$
-based QPSO, particle swarm optimization (PSO), and quantum genetic algorithm (QGA) in terms of overall PER.