A Resilient Smart Body Sensor Network Through Pyramid Interconnection

In the era of body monitoring revolution, wireless body sensor networks (WBSNs) have become an important area of research in many fields, such as health care, military, fitness, and body-interactive games. It consists of a number of tiny low capability sensors organized and deployed over the human body or any living being body. These sensors collect body vital signs data and send it to a base station (BS) for further processing and computations. In fact, gathering and collecting data in real time and communicating it with the station in a timely manner is a crucial feature in the WBSNs. Equally important, reducing the power consumption of these sensors will result in maximizing the battery life and reducing the interval time needed to recharge. Therefore, there are several architectures to gather and collect such data with efficient design. These designs vary from enhancing the distribution of sensors over the human body to the implementation of improved protocol-based communication architecture. In this paper, we propose a novel WBSN architecture through a pyramid interconnection that decreases the power consumption and data gathering delay and increases the resiliency of the system as opposed to the state-of-the-art models. A performance analysis that shows the superiority of our model is presented and discussed as well.