The Mobile Ad-hoc Network is a self-configuring decentralized network, where the network topology is dynamically modifiable. The IoT (Internet of Things) based Wireless Sensor Network contains more sensors and shares information over the Internet to a cloud server. However, the IoT-based wireless sensor network channel has moderate security is poor compared to MANET and packet loss is increased due to attackers. In IoT, all the sensors forward the detected data frequently to the internet gateway, so the energy saving in the network is low compared to MANET. In this work, the smart environment of IoT, Wireless Sensor Networks (WSN) and MANET make a great heterogeneous network in IT Technology; the combination of this heterogeneous network has new challenging issues. In this heterogeneous network, MANET provides a trusted route between the sensor to gateway nodes into the IoT environment using Energy Saving Optimization Techniques [MANET-ESO in IoT]. It saves energy for each node and reduces the economic level. The results of the ns-3 simulation show that the proposed method provides better results in Alive node counts, residual Energy, throughput, packet delivery ratio and routing overhead.

The Internet of Thing (IoT) is a developing technology in the recent world of communication and embedded systems. The IoT consists of a wireless sensor network with Internet service. The data size of the sensor node is small, but the route link is vulnerable and required more energy to complete the task. So, in this paper IoT routes are made up of Mobile Ad-Hoc Network (MANET). The MANET is playing a very important role in IoT services. The MANET is one kind of ad-hoc network. The nodes are moving dynamically within the network. So routes are created on-demand dynamic routing and do not have any centralised units. In the route optimization method, select the best routes in terms of overhead, loop free, traffic control, balancing, throughput and route maintenance, among other factors. In this paper, IoT routes are created between sensors to sink through MANET nodes with WSN routing ideology. The Krill Herd and Feed Forward Optimization (KH-FFO) method discovered the routes. The Krill herd segmented the network and created a cluster group. The Feed Forward optimization method identifies shortest, most energy-efficient route from source to sink. The overall performance of the KH-FFO protocol has improved the networks capacity and reduced packet loss and the energy utilisation of the nodes in the network. The simulation result of KH-FFO reduced the energy consumption of the nodes and End-to-End delay. increased network lifetime, packet delivery ratio and throughput on the network.

1. WBANs are an essential aspect of modern healthcare monitoring that is aimed at detecting and diagnosing diseases in the human body. As a special class of WSNs, WBANs play a significant role in d...

In this modern world, the number of working mothers has risen significantly. Before even going to outside work, she is working for the family in all aspects of cooking, washing, cleaning the room, etc. Consequently, childcare becomes a daily challenge for many mothers. However, mothers cannot constantly observe their infant's activity and childcare to family conditions and workload. In this work, baby care with smart cradle is proposed in which infant activities and health status are observed with the help of various sensors, activator, internet of things (IoT) and the cloud called as baby care robot (BC-Robot). The proposed method helps mothers to monitor and take care of the infants' activities and health status from remote location.