Wireless propagation measurements for astronaut body area network

Taj-Eldin, Mohammed; Kuhn, Bill; Hodges, A.; Natarajan, Balasubramaniam; Peterson, Garrett; Alshetaiwi, Muhannad; Ouyang, Shuo; Sanchez, German; Monfort-Nelson, Erin

doi:10.1109/wisee.2013.6737569

Cited by 6 publications

(4 citation statements)

References 4 publications

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“…Tx rate is limited primarily by the current demodulation method. As link budget studies suggest that significant link margin exists within the envisioned space suit application [29], new methods can be employed to achieve higher Tx rate. If we can increase the Tx rate from 10 kbit/s to 1 Mbit/s without significantly changing the current architecture, MDSR can reach as high as 300 Hz which is adequate for most biosensor signals.…”

Section: Discussionmentioning

confidence: 99%

Ultralow Power Energy Harvesting Body Area Network Design: A Case Study

Zheng

Kuhn

Natarajan

2015

International Journal of Distributed Sensor Networks

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This paper presents an energy harvesting wireless sensor network (EHWSN) architecture designed for use within an astronaut's space suit. The contribution of this work spans both physical (PHY) layer energy harvesting transceiver design and low power medium access control (MAC) solutions. The architecture consists of a star topology with two types of transceiver nodes: a powered gateway radio (GR) node and multiple energy harvesting biosensor radio (BSR) nodes. To demonstrate the feasibility of an EHWSN at the PHY layer, a representative BSR node is implemented. The BSR node is powered by a thermal energy harvesting system (TEHS) which exploits the difference between the temperatures of a space suit's cooling garment and the astronaut's body. It is shown that, through appropriate control of the duty cycle in transmission and receiving modes, it is possible to operate with less than 1 mW generated by the TEHS. This requires ultralow duty cycle which complicates MAC layer design because a BSR node must sleep for more than 99.6% of overall operation time. The challenge for MAC layer design is the inability to predict when the BSR node awakens from sleep mode due to unpredictability of the harvested energy. Therefore, a new feasible MAC layer design, GRI-(gateway radio initialized-) MAC, is proposed and analyzed.

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Section: Discussionmentioning

confidence: 99%

Ultralow Power Energy Harvesting Body Area Network Design: A Case Study

Zheng

Kuhn

Natarajan

2015

International Journal of Distributed Sensor Networks

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“…Thus, the link margin is on the order of 30 dB or higher. Propagation between the left wrist and left ankle yielded the worst overall path loss, but signals were still above -100 dBm in raw measurements for a 0dBm transmission, where path loss is not adjusted for antenna mismatch losses [26].…”

Section: Figure 32 -Full-scale Suit Model Constructionmentioning

confidence: 98%

“….1 -Path loss measurement results for 315 MHz, 433 MHz and 916 MHz radios (from [26]).Pure path loss values (with estimated antenna mismatch losses removed) are presented inTable 3.1 for 315 MHz, 433 MHz, and 916 MHz radio channels[26]. The highest loss values are for the left-wrist-to-left-ankle link(87 dB for 315 MHz, 65 dB for 433 MHz, and 70 dB for 916 MHz).…”

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confidence: 99%

Biomedical sensing and wireless technologies for long duration EVAs and precursor scout missions

Day

Dong

Kuhn

et al. 2014

2014 IEEE Aerospace Conference

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This paper summarizes a coordinated set of research efforts to support human and robotic missions to lunar, asteroid, and outer solar system destinations. Research areas include 1) selection and development of biosensors for astronauts engaged in long-duration, strenuous extra-vehicular activities, 2) sensor placement and operation inside spacesuits with minimal impact and maximum configurability using wireless links, 3) sensors powered using energy harvesting techniques and low-power network designs, and 4) application and maturation of UHF radio hardware to support these activities and the missions they enable.

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“…In [6], intelligent indoor positioning algorithm that fuses a Pedestrian Dead Reckoning (PDR) system and a Received Signal Strength (RSS) based Wi-Fi positioning system is discussed. Wireless Body Area Networks (WBAN) applications like intra-space suit radio propagation channel in various frequency bands including 2.4 GHz is discussed in [7]. In remote health care monitoring application we cannot make use of the available bandwidth effectively, if we use the traditional mode of transmitting the data continuously.…”

Section: Introductionmentioning

confidence: 99%

System Architecture for Low-Power Ubiquitously Connected Remote Health Monitoring Applications With Smart Transmission Mechanism

et al. 2015

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We present a novel smart transmission technique with seamless handoff mechanism to achieve ubiquitous connectivity using multiple on-chip radios targeting remote health monitoring applications. For the first time to the best of our knowledge, a system architecture for low-power ubiquitously connected multiparametric remote health monitoring system is proposed in this paper. The architecture proposed uses a generic adaptive rule engine for classifying the collected multiparametric data from patient and smartly transmit the data when only needed. The on-chip seamless handoff mechanism proposed aids for the ubiquitous connectivity with a very good energy savings by intelligent controlling of the multiple on-chip radios. The performance analysis of the proposed on-chip seamless handoff mechanism along with adaptive rule engine-based smart transmission mechanism achieves on an average of 50.39% of energy saving and 51.01% reduction in duty cycle of transmitter taken over 20 users compared with the continuous transmission. From the hardware complexity analysis made on the proposed seamless handoff controller and adaptive rule engine concludes that they require only 2082 CMOS transistors for real-time implementation.Index Terms-Ubiquitous connectivity, seamless hand-off, RSSI, path loss model, random waypoint mobility (RWP).

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Wireless propagation measurements for astronaut body area network

Cited by 6 publications

References 4 publications

Ultralow Power Energy Harvesting Body Area Network Design: A Case Study

Ultralow Power Energy Harvesting Body Area Network Design: A Case Study

Biomedical sensing and wireless technologies for long duration EVAs and precursor scout missions

System Architecture for Low-Power Ubiquitously Connected Remote Health Monitoring Applications With Smart Transmission Mechanism

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