Aims: This study aimed to propose a routing protocol for IoT-based WBANs that is reliable,
power-efficient, and has a high throughput.
Background: A variety of services and applications that use wireless connections such as LTE,
3G, Wi-Fi, Bluetooth, and ZigBee communication technologies have become popular in daily life
as a result of the rapid development of network hardware technology. Remote medical monitoring
and care is one such service. Governments have developed new policies in response to the
healthcare needs of aging populations. Their goal is to create a comprehensive medical network
based on new wireless technologies like sensor networks and cloud computing. Their purpose is to
take the medical industry and the Internet of Things (IoT) to the next level of development.
Objective: The goal of our proposed study is to improve the network nodes' ability to stay alive for
a longer period of time and to maintain stability. A longer stability period contributes to high
packet delivery of the node to the sink that enhances the efficiency of the WBAN network.
Methods: The Wireless Body Area Network (WBAN) Internet of Things (IoT) for healthcare applications
has attracted attention from various fields of study in the last few years. In this paper,
we propose a routing protocol for IoT-based WBANs that is reliable, power-efficient and has a
high throughput. To achieve low energy consumption and a longer network lifetime, we used a
multi-hop topology. To choose a parent node or forwarder, we propose a cost function that selects
a parent node with the highest residual energy and the shortest distance to sink. The residual energy
parameter balances energy consumption among sensor nodes, while the distance parameter ensures
packet delivery to the sink. Our key goal is to increase WBAN’s total network by raising
cumulative energy usage. The residual energy parameter governs the usage of energy by the sensor
nodes, while the distance parameter ensures that the packet is effectively transmitted to the sink.
Result: Simulation results demonstrate that our proposed protocol is energy efficient and maximizes
network stability for longer periods.
Conclusion: Real-time health and activity recognition with wearable sensors is a prerequisite for
assistive paradigms. In this paper, we suggest a method for routing data to WBANs. The proposed
scheme employs a cost function to determine the best route to the sink. The residual energy of
nodes and their distance from the sink is used to calculate the cost function. Nodes with a lower
cost function value are selected as the parent node. Other nodes are children nodes and send their
data to the parent node. The proposed routing scheme improves network stability time and packet
delivery to sink, according to our simulation results. Path loss is also investigated in this protocol
and will be considered in future work.