ABSTRACT
Many aspects of the traditional healthcare system require improvement, such as stressful hospital environments, specifically for children and senior citizens. The Wireless Network-Assisted Internet of Things (WSN-Assisted IoT) is one of the new technological advances. Smart healthcare monitoring systems that automate patient monitoring to resolve various health-related issues are an effective application of WSN-assisted IoT. This chapter proposes a multi-tier framework for static and dynamic application of WSN-assisted IoT. The various types of nodes in the network are selected according to network parameters to support the scalability and other basic features of WSN-assisted IoT. The deployed network is split into uniform size layers to provide multi-hop communication from layer to layer, resulting in less energy depletion. Load balancing is then achieved by various node elections such as relay node (RN), layer head (LH) and layer coordinator (LCO). Data transmission is initiated by the normal node (NN), which forwards the sensed data to the RN. The RN aggregates all local NNs’ data into a single packet along with their data and passes it to the LH. The LH is responsible for relaying the packet to the uppermost layer’s LH. The packet will be relayed to the upper layers until it is received by the base station (BS). In the simulation, the standard mobility models (random walk, random way point) are used for the dynamic node to make the multi-tier framework convincing for dynamic applications of WSN-assisted IoT. The RN is appointed from normal NNs based on minimum NN to zonal head (ZH) distance ratio and NNs’ energy. In this chapter, the proposed framework’s performance is compared with the static node and other deployment schemes under three different scenarios.
