Design of low power SRAM- based ubiquitous sensor for wireless body area networks

Purpose Smart ubiquitous sensors have been deployed in wireless body area networks to improve digital health-care services. As the requirement for computing power has drastically increased in recent years, the design of low power static RAM-based ubiquitous sensors is highly required for wireless body area networks. However, SRAM cells are increasingly susceptible to soft errors due to short supply voltage. The main purpose of this paper is to design a low power SRAM- based ubiquitous sensor for healthcare applications. Design/methodology/approach In this work, bias temperature instabilities are identified as significant issues in SRAM design. A level shifter circuit is proposed to get rid of soft errors and bias temperature instability problems. Findings Bias Temperature Instabilities are focused on in recent SRAM design for minimizing degradation. When compared to the existing SRAM design, the proposed FinFET-based SRAM obtains better results in terms of latency, power and static noise margin. Body area networks in biomedical applications demand low power ubiquitous sensors to improve battery life. The proposed low power SRAM-based ubiquitous sensors are found to be suitable for portable health-care devices. Originality/value In wireless body area networks, the design of low power SRAM-based ubiquitous sensors are highly essential. This design is power efficient and it overcomes the effect of bias temperature instability.

Attacks and Solutions for a Two-Factor Authentication Protocol for Wireless Body Area Networks

As an extension of the 4G system, 5G is a new generation of broadband mobile communication with high speed, low latency, and large connection characteristics. It solves the problem of human-to-thing and thing-to-thing communication to meet the needs of intelligent medical devices, automotive networking, smart homes, industrial control, environmental monitoring, and other IoT application needs. This has resulted in new research topics related to wireless body area networks. However, such networks are still subject to significant security and privacy threats. Recently, Fotouhi et al. proposed a lightweight and secure two-factor authentication protocol for wireless body area networks in medical IoT. However, in this study, we demonstrate that their proposed protocol is still vulnerable to sensor-capture attacks and the lack of authentication between users and mobile devices. In addition, we propose a new protocol to overcome the limitations mentioned above. A detailed comparison shows that our proposed protocol is better than the previous protocols in terms of security and performance.