A Hybrid MAC Scheme to Improve the Transmission Performance in Body Sensor Networks

Gama, Óscar; Simões, Ricardo

doi:10.1007/s11277-014-2086-3

Cited by 10 publications

(6 citation statements)

References 16 publications

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“…However it needs a suitable program for synchronization that will affects the network topology [7]. LTDA-MAC (Low Delay and Traffic Adaptively) protocol [8] has 6 slots and does not consider the priority of data types. In this protocol BMS faces higher delay, higher collision and consume high quantity of energy which is not acceptable for life threatening data.…”

Section: Related Workmentioning

confidence: 99%

Prioritized data based Energy Efficient MAC protocol in Wireless Body Area Network

Sahoo,

Samal*,

Panda

et al. 2020

IJITEE

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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.

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Section: Related Workmentioning

confidence: 99%

Prioritized data based Energy Efficient MAC protocol in Wireless Body Area Network

Sahoo,

Samal*,

Panda

et al. 2020

IJITEE

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show abstract

“…In order to fulfill the different demands of periodic traffic and random traffic, many hybrid MAC protocols [ 27 , 28 ] that integrate the advantages of CSMA/CA and TDMA have been put forward. 802.15.4 and 802.15.6 belong to hybrid MAC protocols, as well.…”

Section: Related Workmentioning

confidence: 99%

Low Duty-Cycling MAC Protocol for Low Data-Rate Medical Wireless Body Area Networks

Zhang

Wang

Liang

et al. 2017

Sensors

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Wireless body area networks (WBANs) are severely energy constrained, and how to improve the energy efficiency so as to prolong the network lifetime as long as possible is one of the most important goals of WBAN research. Low data-rate WBANs are promising to cut down the energy consumption and extend the network lifetime. Considering the characteristics and demands of low data-rate WBANs, a low duty-cycling medium access control (MAC) protocol is specially designed for this kind of WBAN in this paper. Longer superframes are exploited to cut down the energy consumed on the transmissions and receptions of redundant beacon frames. Insertion time slots are embedded into the inactive part of a superframe to deliver the frames and satisfy the quality of service (QoS) requirements. The number of the data subsections in an insertion time slot can be adaptively adjusted so as to accommodate low data-rate WBANs with different traffic. Simulation results show that the proposed MAC protocol performs well under the condition of low data-rate monitoring traffic.

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“…Besides the two aforementioned industry standards, there are other BSN MAC protocols [ 13 , 14 , 15 , 16 , 17 , 18 , 19 ] designed by the academic or industrial community. However, these protocols are designed for general applications with heavy traffic.…”

Section: Related Workmentioning

confidence: 99%

An Energy-Efficient MAC Protocol for Medical Emergency Monitoring Body Sensor Networks

Zhang

Wang

Liang

et al. 2016

Sensors

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Medical emergency monitoring body sensor networks (BSNs) monitor the occurrence of medical emergencies and are helpful for the daily care of the elderly and chronically ill people. Such BSNs are characterized by rare traffic when there is no emergency occurring, high real-time and reliable requirements of emergency data and demand for a fast wake-up mechanism for waking up all nodes when an emergency happens. A beacon-enabled MAC protocol is specially designed to meet the demands of medical emergency monitoring BSNs. The rarity of traffic is exploited to improve energy efficiency. By adopting a long superframe structure to avoid unnecessary beacons and allocating most of the superframe to be inactive periods, the duty cycle is reduced to an extremely low level to save energy. Short active time slots are interposed into the superframe and shared by all of the nodes to deliver the emergency data in a low-delay and reliable way to meet the real-time and reliable requirements. The interposition slots can also be used by the coordinator to broadcast network demands to wake-up all nodes in a low-delay and energy-efficient way. Experiments display that the proposed MAC protocol works well in BSNs with low emergency data traffic.

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A Hybrid MAC Scheme to Improve the Transmission Performance in Body Sensor Networks

Cited by 10 publications

References 16 publications

Prioritized data based Energy Efficient MAC protocol in Wireless Body Area Network

Prioritized data based Energy Efficient MAC protocol in Wireless Body Area Network

Low Duty-Cycling MAC Protocol for Low Data-Rate Medical Wireless Body Area Networks

An Energy-Efficient MAC Protocol for Medical Emergency Monitoring Body Sensor Networks

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