scholarly journals Performance Analysis of Priority Queuing Model for Low Power Wireless Body Area Networks (WBANs)

2014 ◽  
Vol 34 ◽  
pp. 518-525 ◽  
Author(s):  
Mohsin Iftikhar ◽  
Nada Al Elaiwi ◽  
Mehmet Sabih Aksoy
Keyword(s):  
Performance Analysis ◽  
Low Power ◽  
Body Area Networks ◽  
Wireless Body Area Networks ◽  
Body Area ◽  
Queuing Model

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

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kumar Neeraj ◽  
Mohammed Mahaboob Basha ◽  
Srinivasulu Gundala
Keyword(s):  
Health Care ◽  
Low Power ◽  
Soft Errors ◽  
Body Area Networks ◽  
Wireless Body Area Networks ◽  
Body Area ◽  
Temperature Instability ◽  
Content Type ◽  
Bias Temperature Instability ◽  
Sram Design

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.

An Energy-Efficient Optimization Based Scheme for Low Power Devices in Wireless Body Area Networks

2019 ◽  
Vol 16 (7) ◽  
pp. 2934-2940 ◽  
Author(s):  
Dalal Abdulmohsin Hammood ◽  
Hasliza A. Rahim ◽  
Ahmed Alkhayyat ◽  
R. Badlishah Ahmad ◽  
M. Abdulmalek ◽  
...  
Keyword(s):  
Low Power ◽  
Energy Efficient ◽  
Body Area Networks ◽  
Wireless Body Area Networks ◽  
Power Devices ◽  
Body Area

scholarly journals A Novel Low-Power Time Synchronization Algorithm based on a Fractional Approach for Wireless Body Area Networks

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Giuseppe Coviello ◽  
Gianfranco Avitabile ◽  
Antonello Florio ◽  
Claudio Talarico ◽  
Janet Roveda
Keyword(s):  
Low Power ◽  
Time Synchronization ◽  
Body Area Networks ◽  
Wireless Body Area Networks ◽  
Body Area ◽  
Synchronization Algorithm

scholarly journals Power Saving MAC Protocols for Wireless Body Area Networks (WBANs)

2021 ◽  
Author(s):  
Kheesheshta Ramgoolam ◽  
Vandana Bassoo
Keyword(s):  
Power Consumption ◽  
Low Power ◽  
Mac Protocol ◽  
Body Area Networks ◽  
Wireless Body Area Networks ◽  
Mac Protocols ◽  
Body Area ◽  
Traffic Scenario ◽  
Low Traffic ◽  
Better Than

Abstract Two important criteria of Wireless Body Area Networks (WBANs) are low power consumption and delay. These criteria can be met by designing efficient Medium Access Control (MAC) protocols. In this paper, two TDMA-based MAC protocols are proposed. The first protocol, TM-MAC makes use of only a main radio. The second proposed protocol, TWM-MAC makes use of a WUR alongside the main radio. The two proposed protocols are compared with different categories of standard MAC protocols and it is shown that they outperform the standard ones by improving the power consumption and delay. The TWM-MAC consumes 55% less power consumption than the Scheduled Channel Polling MAC (SCP-MAC) protocol for a high traffic scenario on the high-rate platform while the TM-MAC consumes 85% less power consumption than the SCP-MAC. For a low traffic scenario, the TWM-MAC performs 53.5% better than the SCP-MAC protocol and 77.5% better than the Very Low Power MAC (VLPM) protocol on the high and low-rate platforms respectively. An improvement in delay was observed with the TWM-MAC protocol for high traffic situations. The TWM-MAC protocol surpasses the VLPM protocol by 81.1% in terms of latency for a high traffic scenario and 3.2% for a low traffic scenario.

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