Efficient Hybrid Emergency Aware MAC Protocol for Wireless Body Sensor Networks

Dargham, Nadine Bou; Makhoul, Abdallah; Abdo, Jacques Bou; Demerjian, Jacques; Guyeux, Christophe

doi:10.3390/s18103572

Cited by 13 publications

(16 citation statements)

References 25 publications

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“…In both cases, the number of allocated slots is bounded by a maximum number s max to guarantee the delivery of urgent data within their strict delay requirements (120 ms). The CH then allocates the computed number of slots in the ES period, and updates the information about spreading codes and slot allocation in the BF (5).…”

Section: Slot Allocation Proceduresmentioning

confidence: 99%

“…In CBSN, there are two types of traffic generated by the composing BSNs: periodic traffic that is produced by the BSNs who are in a state of regular observation, and bursty traffic that is generated by the BSNs in emergency state that happens when the activity of the monitored person or its environment changes suddenly (5). CBSNs present therefore the following challenges:…”

Section: Introductionmentioning

confidence: 99%

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Mobility aware and traffic adaptive hybrid MAC protocol for collaborative body sensor networks

Boudargham

Abdo

Demerjian

et al. 2020

IJSNET

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Collaborative Body Sensor Network (CBSN) is formed of several Body Sensor Networks (BSNs) moving in a given area and able to exchange data between each other. One of the challenges in CBSN is to design a Medium Access Protocol that efficiently supports nodes mobility, and at the same time, guarantees immediate delivery of urgent data, and maintains high energy efficiency during regular observation. In this paper, a hybrid Traffic and Mobility Aware MAC (TMA-MAC) is proposed to satisfy CBSN's traffic requirements through adopting a hybrid DS-CDMA/DTDMA technique, and to support CBSN's nodes mobility through ensuring efficient transmission of intra-cluster mobile nodes data and proposing a mechanism to handle inter-cluster nodes joining requests. TMA-MAC was compared to other existing protocols under both traffic and mobility variations. Simulations were conducted using OPNET to evaluate TMA-MAC with respect to packet delay, packet drop percentage, and energy consumption.

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Section: Slot Allocation Proceduresmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Mobility aware and traffic adaptive hybrid MAC protocol for collaborative body sensor networks

Boudargham

Abdo

Demerjian

et al. 2020

IJSNET

Self Cite

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“…Authors [35]- [40] introduced several improvements to network performance and reduction in data transmission delay by several enhancements on MAC protocols, to illustrate an example is combining several protocols to take advantage of certain property from each protocol. For instance, Bou Dargham et al [39] design a protocol that guarantee immediate and reliable transmission, where they designed a protocol that combine the high delay efficiency of DS-CDMA with high energy efficiency of DTDMA. As a result, this scheme outperform other schemes in terms of delay and packet drop percentage.…”

Section: Related Workmentioning

confidence: 99%

A Resilient Smart Body Sensor Network Through Pyramid Interconnection

2019

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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. INDEX TERMS Hypercube interconnection, pyramid interconnection, star interconnection, wireless body sensor network.

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“…Thus, correct and fast detections of emergency cases are the two main challenges of BSNs. Another challenge facing BSNs is the restricted energy capacity of the sensors [6]. The corresponding energy consumption originates from sensing, processing, and communicating data via the radio transceiver.…”

Section: Introductionmentioning

confidence: 99%

Toward fast and accurate emergency cases detection in BSNs

Boudargham

Sibai

Abdo

et al. 2020

IET wirel. sens. syst.

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In body sensor networks (BSNs), medical sensors capture physiological data from the human body and send them to the coordinator who act as a gateway to health care. The main aim of BSNs is to save peoples' lives. Therefore, fast and correct detection of emergencies while maintaining low-energy consumption of sensors is essential requirement of BSNs. In this study, the authors propose a new adaptive data sampling approach, where the sampling ratio is adapted based on the sensed data variation. The idea is to use the modified version of the cumulative sum (CUSUM) algorithm (modified CUSUM) that they previously proposed for wireless sensor networks to monitor the data variability, and adapt the sampling rate accordingly. Modified CUSUM is then applied to the adaptively sampled data to detect anomalies, and the correlation property between physiological parameters will be used to identify emergency cases from false alarms. Several experiments are performed and compared to evaluate the efficiency of their approach, and different parameters are considered.

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Efficient Hybrid Emergency Aware MAC Protocol for Wireless Body Sensor Networks

Cited by 13 publications

References 25 publications

Mobility aware and traffic adaptive hybrid MAC protocol for collaborative body sensor networks

Mobility aware and traffic adaptive hybrid MAC protocol for collaborative body sensor networks

A Resilient Smart Body Sensor Network Through Pyramid Interconnection

Toward fast and accurate emergency cases detection in BSNs

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