Energy Efficient and Quality of Service Compromise Techniques for Wireless Body Area Networks

2019 ◽  
Vol 16 (12) ◽  
pp. 5055-5062
Author(s):  
Shaik Mahammad Rasool ◽  
Abdul Wasay Mudasser ◽  
Shad Aqueel Ahmed Abdul Gafoor

In the present era the use of e-health plays a major role in the field of medical science. Today a significant attraction interest is towards Wireless Body area network (WBAN). The major challenges of Wireless Body area network (WBAN) technique are to maintain the quality service and to track the network stability for a longer time, e.g., probability of delivery, and latency. The main important issue is to maintain the energy efficiency within the formed network. Here we propose a protocol for WBANs based on MAC using the multi-dimension (MD) graph optimization to compromise the energy consumption and QoS in data transmission. In WBANs, low battery performing on-body or inculcate biomedical sensor nodes are applicable to observe and gathers the physiological signals like body temperature, blood pressure, ECG and EEG. The MAC protocol design utilizes an optimization algorithm to optimize the scheduled traffic and channel of WBAN. The proposed protocol simulation results will be better than TDMA, CA-MAC and IEEE 802.15.6 MAC in terms of energy efficiency and QoS for large network conditions.

Wireless Body Area Network (WBAN) is an exclusively designed Wireless Sensor Networks that used in today’s health-care system. The central challenge in WBAN is to transfer the medical data with limited energy and with high reliability. The IEEE 802.15.4 MAC Protocol is a standard model used to consume less energy by providing low data rate. This paper aimed to present a novel protocol PD-MAC, an enhanced version of IEEE 802.15.4 to achieve the above goal. The main objective of this protocol is to transmit the packets according to their priorities. It also improves the retransmission and packet drop process by introducing an additional slot to define Starvation Index in the super-frame of IEEE 802.15.4. A node has to start its transmission when the timer is set to zero. A node has to sense the channel status before transmission begins. The data are transmitted according to their priorities only when it senses the free channel. However if the channel is not free then retransmission of packet will be carried out and in each retransmission process the starvation index increments the priority of the packet. When the packet priority raises to high then it transmits the packet by considering it as high emergency packet. For energy efficiency a max limit is define to retransmit a data packet. This protocol has been simulated using Castalia 3.2 environment and the result validate that our proposed protocol provides better service in terms of least Packet Delay and lowest Energy Consumption to its counterparts.


Author(s):  
Subono . ◽  
M. Udin Harun Al Rasyid ◽  
I Gede Puja Astawa

ZigBee applications of IEEE 802.15.4 Wireless Sensor Network (WSN) with Low Rate Wireless Personal Area Network (LR-WPAN) can be integrated with e-health technology Wireless Body Area Network (WBAN). WBAN are small size and can communicate quickly making it easier for people to obtain information accurately.WBAN has a variety of functions that can help human life. It can be used in the e-health, military and sports. WBAN has the potential to be the future of wireless communication solutions. WBAN use battery as its primary power source. WBAN has limited energy and must be able to save energy consumption in order to operate for a long time. In this study, we propose a method of time scheduling called cycle sleep period (CSP) as WBAN solutions to save energy and improve energy efficiency. The CSP method is implemented in the real hardware testbed using sensor e-health includes temperature body and current sensor. We compared the performance of CSP method with duty cycle management (DCM) time scheduling-based and without using time scheduling.From the measurement results, our proposed idea has decreasingenergy consumption.Keywords: WSN, LR-WPAN, WBAN, e-health, Time Scheduling


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