Hybrid Optimization Schemes for Opportunistic Routing and Localization in Wireless Network

Abstract: The nodes in networks are constrained with limited power for their vital operations since the connectivity of the network will go down as soon as node energy gets exhausted. Node failures due to power constraints cause system failures and hence minimize end-to-end connectivity in the network. And also  mobility  and  congestion  of  the nodes  lead  to  frequent  link  failures  and  packet  losses  affecting  the QoS  performance  of  the  protocol. In this work, we used an effective proposed scheme, named as Hybrid Optimization System (HOS), for efficient and routing and transmission for wireless networks. Our Hybrid scheme consist of many techniques such as, Dynamic Opportunistic Routing, Multipath Scheduling Scheme and Robust Transmission in networks to overcome above limitations in networks.  Hybrid K-means PSO clustering approach, ’KPSO’, that clusters the network into predefined number of clusters. K-means searches for the best number of clusters, and then groups the network into the selected clusters. PSO selects the best CH for each cluster. KPSO reduced the complexity on the way we are handling the problem and improved the network lifetime. It  provides  effective  load balancing  at  the  node  and  finds  a  stable  path  between  the  source and  destination  meeting  the  delay  requirement.  Simulation  results show  that  the  proposed  protocol  outperforms  in terms  of  packet  delivery ratio,  throughput,  routing  overhead  and average end to end delay.

Keywords: Wireless Network, Hybrid Optimization System (HOS), Internet of Things (IoT)