Fast and accurate simulation of biomonitoring applications on a wireless body area network

Nguyen, K.D.; Cutcutache, Ioana; Sinnadurai, S.; Liu, Shanshan; Basol, C.; Sim, Ernst; Phan, Linh Thi Xuan; Tok, Teck Bok; Francis, L.X.; Tay, Eng Guan; Mitra, Tulika; Wong, Weng-Fai

doi:10.1109/issmdbs.2008.4575039

Cited by 7 publications

(2 citation statements)

References 11 publications

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“…The authors in [ 49 , 50 ] present a System-C-based fast simulator that can provide accurate timing and energy estimation for health monitoring applications for BAN. This simulator is able to obtain timing and energy measurements for each function in the program, as well as for each module in the hardware, which is then used for the optimization towards critical functions and/or components.…”

Section: Related Work Simulators and Theirs Limitsmentioning

confidence: 99%

Realistic Simulation for Body Area and Body-To-Body Networks

Alam

Hamida

Arbia

et al. 2016

Sensors

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In this paper, we present an accurate and realistic simulation for body area networks (BAN) and body-to-body networks (BBN) using deterministic and semi-deterministic approaches. First, in the semi-deterministic approach, a real-time measurement campaign is performed, which is further characterized through statistical analysis. It is able to generate link-correlated and time-varying realistic traces (i.e., with consistent mobility patterns) for on-body and body-to-body shadowing and fading, including body orientations and rotations, by means of stochastic channel models. The full deterministic approach is particularly targeted to enhance IEEE 802.15.6 proposed channel models by introducing space and time variations (i.e., dynamic distances) through biomechanical modeling. In addition, it helps to accurately model the radio link by identifying the link types and corresponding path loss factors for line of sight (LOS) and non-line of sight (NLOS). This approach is particularly important for links that vary over time due to mobility. It is also important to add that the communication and protocol stack, including the physical (PHY), medium access control (MAC) and networking models, is developed for BAN and BBN, and the IEEE 802.15.6 compliance standard is provided as a benchmark for future research works of the community. Finally, the two approaches are compared in terms of the successful packet delivery ratio, packet delay and energy efficiency. The results show that the semi-deterministic approach is the best option; however, for the diversity of the mobility patterns and scenarios applicable, biomechanical modeling and the deterministic approach are better choices.

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Section: Related Work Simulators and Theirs Limitsmentioning

confidence: 99%

Realistic Simulation for Body Area and Body-To-Body Networks

Alam

Hamida

Arbia

et al. 2016

Sensors

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“…In [5], a cycle-accurate abstract-level model using SystemC to evaluate power consumption of a wireless sensor network node was carried out. However, an existing hardware platform was modeled.…”

Section: Related Workmentioning

confidence: 99%

System-level modeling of a Reconfigurable System on Chip for wireless sensor networks applications

Beserra

Medeiros

Madureira

et al. 2010

2010 International Conference on Intelligent and Advanced Systems

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This paper presents the system-level modeling of a Reconfigurable System on Chip (RSoC) that is being currently developed in our institution. Although there is a wide range of possible applications, our system is initially aiming fruit monitoring system. The proposed RSoC contains a 32-bit RISC microprocessor, reconfigurable structures, analog and digital interfaces, an RF transceiver and an Active Pixel Sensor (APS) matrix whose function will consist basically on image acquisition. The modeling at a high level of abstraction has been used lately in the design and verification of SoCs due to the rising complexity of such systems. Virtual platforms using SystemC description language at Transaction-Level Modeling (TLM) allow efficient simulations including software and hardware. In this work, a preliminary evaluation of a systemlevel description of the RSoC is carried out. A JPEG compression algorithm was mapped and implemented as a case study to test the accuracy of the model. Future implementations will include the description of an RF transceiver and the communication between two RSoCs.

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