A New Bio-Inspired for Cooperative Data Transmission of IoT
Aripriharta Aripriharta, Zhihao Wang, Muladi Muladi, Gwo-Jiun Horng, Gwo-Jia Jong
Abstract
The original queen honey bee migration (QHBM) was developed for independent action on solving efficient mobile routing in WSN. In this article, we enhanced the original QHBM using Binary testing injection on the cooperative node's selection on IoT system. We also added a new cost function for making nodes' coalition, implementing the threshold value for modified QHBM (mQHBM for short), and demonstrating the mQHBM-CMIMO in fair comparison with another previous algorithms. Our research portrayed that mQHBM can perform better than its competitors such as Fuzzy- BT, Neuro Fuzzy and PSO in terms of network lifetime and the end to end delay.
Topics & Concepts
Computer scienceNode (physics)Competitor analysisRouting (electronic design automation)Selection (genetic algorithm)Fuzzy logicTransmission (telecommunications)Computer networkBinary numberInternet of ThingsFunction (biology)Distributed computingArtificial intelligenceTelecommunicationsEmbedded systemEconomicsArithmeticStructural engineeringBiologyMathematicsEvolutionary biologyEngineeringManagementEnergy Efficient Wireless Sensor NetworksMolecular Communication and NanonetworksAdvanced Optical Network Technologies