Sushil Kumar

TL;DR: A deep learning neural network-based Internet of Things (IoT)-enabled intelligent irrigation system for precision agriculture (DLiSA) that keeps its functionality better in the weather of any region for any period of time.

TL;DR: An ant colony optimization based QoS aware energy balancing secure routing (QEBSR) algorithm for WSNs is proposed and improved heuristics for calculating the end-to-end delay of transmission and the trust factor of the nodes on the routing path are proposed.

TL;DR: A framework for optimizing fault tolerance (FT) in virtualization in WSNs, focusing on heterogeneous networks for service-oriented IoT applications is proposed, and an adapted nondominated sorting-based genetic algorithm (A-NSGA) is developed to solve the optimization problem.

TL;DR: A comprehensive review on energy efficiency techniques used in IoT environments, based on five different layers of the energy architecture of IoT, is presented to benefit IoT industry practitioners and researchers in terms of augment the understanding of energy efficiency and its IoT-related trends and issues.

TL;DR: A Geographic Distance Routing protocol based on Segment vehicle, Link quality and Degree of connectivity (SLD-GEDIR), which selects a reliable NHV using the criteria segment vehicles, one-hop link quality and degree of connectivity.