ATPS: Adaptive Transmission Power Selection for Communication in Wireless Body Area Networks

Arghavani, Abbas; Zhang, Haibo; Huang, Zhiyi; Chen, Yawen

doi:10.1109/lcn.2017.34

Cited by 3 publications

(5 citation statements)

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“…However, since the proposed scheme is executed locally by the sending node, extra nodes can be added to the network without sacrificing the performance of the communication scheme. This setup has also been adopted in much other research works [30], [9], [37], [26] because (1) in many applications, body sensors tend to be embedded into the user's wrist watch or fancy wrist bands; (2) the shoulder joint is the most mobile joint and can provide a wide range of movements for the wrist in combination with the elbow joint. Hence, the location of the sending node and consequently the channel to the gateway is highly unstable, making the channel estimation very challenging.…”

Section: A Experiments Setupmentioning

confidence: 99%

Power-Adaptive Communication With Channel-Aware Transmission Scheduling in WBANs

Arghavani,

Zhang,

Huang

et al. 2024

IEEE Internet Things J.

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Radio links in Wireless Body Area Networks (WBANs) are highly subject to short and long-term attenuation due to the unstable network topology and frequent body blockage. This instability makes it challenging to achieve reliable and energy-efficient communication, but on the other hand, provides a great potential for the sending nodes to dynamically schedule the transmissions at the time with the best-expected channel quality. Motivated by this, we propose IGE (Improved Gilbert-Elliott Markov chain model), a memory-efficient Markov chain model to monitor channel fluctuations and provide a long-term channel prediction. We then design ATPS (Adaptive Transmission Power Selection), a deadline-constrained channel scheduling scheme that enables a sending node to buffer the packets when the channel is bad and schedule them to be transmitted when the channel is expected to be good within a deadline. ATPS can self-learn the pattern of channel changes without imposing a significant computation or memory overhead on the sending node. We evaluate the performance of ATPS through experiments using TelosB motes under different scenarios with different body postures and packet rates. We further compare ATPS with several state-of-the-art schemes including the optimal scheduling policy in which the optimal transmission time for each packet is calculated based on the collected RSSI (Received Signal Strength Indicator) samples in an off-line manner. The experimental results reveal that ATPS performs almost as efficiently as the optimal scheme in high-date-rate scenarios and has a similar trend on power level usage.

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Section: A Experiments Setupmentioning

confidence: 99%

Power-Adaptive Communication With Channel-Aware Transmission Scheduling in WBANs

Arghavani,

Zhang,

Huang

et al. 2024

IEEE Internet Things J.

Self Cite

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“…The ExPerio extracts the channel pattern during walking activity and transmits data packets opportunistically in a bursty fashion when the channel is good. 27 G-TPC and Experio require very high packet rate (packets per second) communication to detect channel peaks. 28 The LSTM-PA predicts the BQT for data transmission using matched trained data frame from the trained data set, even during the aperiodic activity with one packet per 0.1 s.…”

Section: Related Workmentioning

confidence: 99%

“…The adaptive transmission power selection (ATPS) for communication in WBAN uses the extended Gilbert model to recognize the burst length and predict the channel behavior. 27 It explores the channel symmetry and RSSI-based thresholding to predict the channel and assign the power level. Liu 30 designed a methodology using reinforcement learning for best path selection keeping length as the priority.…”

Section: Related Workmentioning

confidence: 99%

“…The ExPerio method is an adaptive power control algorithm. The ExPerio extracts the channel pattern during walking activity and transmits data packets opportunistically in a bursty fashion when the channel is good 27 . G‐TPC and Experio require very high packet rate (packets per second) communication to detect channel peaks 28 .…”

Section: Related Workmentioning

confidence: 99%

“…The TPL calculation is performed separately for change in the state of activity. The ATPS, 27 LPA, 29 and CHIMP 28 take a maximum of four power levels and analyses the human postures. The LSTM‐PA algorithm takes five activities with various postures and performs line‐of‐sight or non‐line‐of‐sight communication with the coordinator.…”

Section: Overview Of Lstm‐pa Algorithmmentioning

confidence: 99%

See 2 more Smart Citations

Long short‐term memory‐based power‐aware algorithm for prompt heterogenous activity

Nasreen¹,

Ravindran

2022

Int J Communication

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Summary Human–computer interaction plays a vital role in wireless body area networks, internet of things, and big data. Wearables are low‐power devices with minimal battery capacity. In general, wearables suffer from energy losses due to changes in the user's body posture, diffraction, reflection, and shadowing of the human body. As a result, many control packets are needed to ensure proper communication in wireless body area network. Hence, this research proposes a long short‐term memory‐based power‐aware (LSTM‐PA) algorithm to ensure burst data transmission during prompt heterogeneous activities in the presence and absence of inter‐WBAN interference. The proposed algorithm predicts the best quality time (BQT) for data transmission by activity classification and robust R2 similarity (RRS) metric. The minimum transmission power is estimated by the critical point classification technique. The activity classification accuracy is 92% in the LSTM‐PA algorithm. The energy consumption in the node is reduced by up to 46.34% compared to benchmark algorithms.

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Optimum Placement of Relay Nodes in WBANs for Improving the QoS of Indoor RPM System

Vyas

Pal

2021

IEEE Sensors J.

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ATPS: Adaptive Transmission Power Selection for Communication in Wireless Body Area Networks

Cited by 3 publications

References 5 publications

Power-Adaptive Communication With Channel-Aware Transmission Scheduling in WBANs

Power-Adaptive Communication With Channel-Aware Transmission Scheduling in WBANs

Long short‐term memory‐based power‐aware algorithm for prompt heterogenous activity

Optimum Placement of Relay Nodes in WBANs for Improving the QoS of Indoor RPM System

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