Welcome, visitor! [ Login

 

S. Ullah, R. Islam, et al., “Performance analysis of a preamble based TDMA protocol for wireless body area network”, Journal of Communications Software and Systems, Vol. 4, No. 3, pp. 222–226, 2008.

  • Listed: 24 May 2026 1 h 23 min

Description

S. Ullah, R. Islam, et al., “Performance analysis of a preamble based TDMA protocol for wireless body area network”, Journal of Communications Software and Systems, Vol. 4, No. 3, pp. 222–226, 2008.

**”S. Ullah, R. Islam, et al., “Performance analysis of a preamble based TDMA protocol for wireless body area network”, Journal of Communications Software and Systems, Vol. 4, No. 3, pp. 222–226, 2008.”**

The world of wireless body area networks (WBANs) has revolutionized the way we monitor and manage our health. WBANs are designed to facilitate communication between devices attached to the human body, enabling the transmission of vital health data to remote monitoring systems. However, the efficient transmission of data in WBANs poses significant challenges due to the unique characteristics of the human body as a communication medium. One crucial aspect of WBANs is the Medium Access Control (MAC) protocol, which governs how devices access the shared communication channel. In this context, a research paper titled “Performance analysis of a preamble based TDMA protocol for wireless body area network” by S. Ullah, R. Islam, et al., published in the Journal of Communications Software and Systems in 2008, presents a significant contribution to the field.

The paper proposes a preamble-based Time Division Multiple Access (TDMA) protocol for WBANs, which aims to improve the performance of data transmission in these networks. TDMA is a popular MAC protocol that allows multiple devices to share the same communication channel by allocating specific time slots to each device. The preamble-based approach involves the use of a preamble sequence to facilitate synchronization and channel estimation. The authors analyze the performance of the proposed protocol in terms of packet delivery ratio, delay, and energy consumption.

The research highlights the importance of efficient MAC protocols in WBANs, where devices are typically battery-powered and require low-power communication. The proposed preamble-based TDMA protocol offers several advantages, including reduced interference, improved packet delivery ratio, and lower energy consumption. These benefits are critical in WBANs, where devices are often deployed in a noisy and dynamic environment.

The performance analysis presented in the paper provides valuable insights into the design and optimization of WBANs. The authors’ findings suggest that the preamble-based TDMA protocol can achieve a high packet delivery ratio and low delay, making it suitable for real-time health monitoring applications. Moreover, the protocol’s energy-efficient design ensures that devices can operate for extended periods without requiring frequent battery replacements.

The research in this paper contributes to the ongoing efforts to develop efficient and reliable WBANs. As the demand for wearable devices and remote health monitoring systems continues to grow, the need for optimized MAC protocols becomes increasingly important. The preamble-based TDMA protocol proposed in this paper offers a promising solution for WBANs, enabling efficient and reliable data transmission in these networks.

In conclusion, the paper “Performance analysis of a preamble based TDMA protocol for wireless body area network” by S. Ullah, R. Islam, et al. presents a significant contribution to the field of WBANs. The proposed preamble-based TDMA protocol offers improved performance, energy efficiency, and reliability, making it suitable for real-time health monitoring applications. As the field of WBANs continues to evolve, research like this will play a crucial role in shaping the future of remote health monitoring and wearable technology.

No Tags

8 total views, 4 today

  

Listing ID: N/A

Report problem

Processing your request, Please wait....

Sponsored Links

 

J. H. Kotecha and P. M. Djuric, “Gaussian Particle Filtering”, IEEE Transac...

J. H. Kotecha and P. M. Djuric, “Gaussian Particle Filtering”, IEEE Transactions on signal processing. vol.51, no.10, 2003, pp. 2592-2601. **J. H. Kotecha and P. […]

No views yet

 

Tanya Bertozzi, Didier Le Ruyet, Gilles Rigal and Han Vu-Thien, “On Particl...

Tanya Bertozzi, Didier Le Ruyet, Gilles Rigal and Han Vu-Thien, “On Particle Filtering for Digital Communications”, Proc. of 4th IEEE Workshop on Signal Processing Advances […]

3 total views, 2 today

 

Arnaud Doucet, “On Sequential Simulation-Based Methods for Bayesian Filteri...

Arnaud Doucet, “On Sequential Simulation-Based Methods for Bayesian Filtering”, Technical report. Signal Processing Group, Department of Engineering, University of Cambridge, 1998 None

1 total views, 1 today

 

M. Sanjeev Arulampalam, Simon Maskell, N. Gordon and T. Clapp, “A tutorial ...

M. Sanjeev Arulampalam, Simon Maskell, N. Gordon and T. Clapp, “A tutorial on particle filters for On-line Nonlinear/Non-Gaussian Bayesian Tracking.” IEEE Transactions on signal processing, […]

2 total views, 2 today

 

Michael Isard, Andrew Blake, “Condensation – conditional density propagatio...

Michael Isard, Andrew Blake, “Condensation – conditional density propagation for visual tracking”, International Journal of Computer Vision, 1998. pp. 5~28 None

2 total views, 2 today

 

Eric A. Wan and Rudolph van der Merwe, “The Unscented Kalman Filter for Non...

Eric A. Wan and Rudolph van der Merwe, “The Unscented Kalman Filter for Nonlinear Estimation”, proceedings of ASSPCC, 2000, pp.153-158 “The Unscented Kalman Filter for […]

1 total views, 1 today

 

Simon J. Julier and Jeffrey K. Uhlmann, “Unscented Filtering and Nonlinear ...

Simon J. Julier and Jeffrey K. Uhlmann, “Unscented Filtering and Nonlinear Estimation”, proceedings of the IEEE, vol. 92. no. 3, 2004, pp.401-422. **”Unscented Filtering and […]

1 total views, 1 today

 

Greg Welch, Gary Bishop, “An Introduction to the Kalman Filter”, Technical ...

Greg Welch, Gary Bishop, “An Introduction to the Kalman Filter”, Technical Report, TR 95-041, University of North Carolina at Chapel Hill, 2004 Okay, let’s start […]

3 total views, 3 today

 

Rudolph van der Merwe, Arnaud Doucet, Nando de Freitas, Eric Wan, “The unsc...

Rudolph van der Merwe, Arnaud Doucet, Nando de Freitas, Eric Wan, “The unscented particle filter”, Technical report. Cambridge University. Engineering Department. 2000 None

1 total views, 1 today

 

F. Gustafsson, F. Gunnarsson, N. Bergman, U. Forssell, J. Jansson, R. Karls...

F. Gustafsson, F. Gunnarsson, N. Bergman, U. Forssell, J. Jansson, R. Karlsson, J. Nordlund, 揚article filters for positioning, navigation, and tracking? IEEE Transactions on Signal […]

2 total views, 2 today

 

J. H. Kotecha and P. M. Djuric, “Gaussian Particle Filtering”, IEEE Transac...

J. H. Kotecha and P. M. Djuric, “Gaussian Particle Filtering”, IEEE Transactions on signal processing. vol.51, no.10, 2003, pp. 2592-2601. **J. H. Kotecha and P. […]

No views yet

 

Tanya Bertozzi, Didier Le Ruyet, Gilles Rigal and Han Vu-Thien, “On Particl...

Tanya Bertozzi, Didier Le Ruyet, Gilles Rigal and Han Vu-Thien, “On Particle Filtering for Digital Communications”, Proc. of 4th IEEE Workshop on Signal Processing Advances […]

3 total views, 2 today

 

Arnaud Doucet, “On Sequential Simulation-Based Methods for Bayesian Filteri...

Arnaud Doucet, “On Sequential Simulation-Based Methods for Bayesian Filtering”, Technical report. Signal Processing Group, Department of Engineering, University of Cambridge, 1998 None

1 total views, 1 today

 

M. Sanjeev Arulampalam, Simon Maskell, N. Gordon and T. Clapp, “A tutorial ...

M. Sanjeev Arulampalam, Simon Maskell, N. Gordon and T. Clapp, “A tutorial on particle filters for On-line Nonlinear/Non-Gaussian Bayesian Tracking.” IEEE Transactions on signal processing, […]

2 total views, 2 today

 

Michael Isard, Andrew Blake, “Condensation – conditional density propagatio...

Michael Isard, Andrew Blake, “Condensation – conditional density propagation for visual tracking”, International Journal of Computer Vision, 1998. pp. 5~28 None

2 total views, 2 today

 

Eric A. Wan and Rudolph van der Merwe, “The Unscented Kalman Filter for Non...

Eric A. Wan and Rudolph van der Merwe, “The Unscented Kalman Filter for Nonlinear Estimation”, proceedings of ASSPCC, 2000, pp.153-158 “The Unscented Kalman Filter for […]

1 total views, 1 today

 

Simon J. Julier and Jeffrey K. Uhlmann, “Unscented Filtering and Nonlinear ...

Simon J. Julier and Jeffrey K. Uhlmann, “Unscented Filtering and Nonlinear Estimation”, proceedings of the IEEE, vol. 92. no. 3, 2004, pp.401-422. **”Unscented Filtering and […]

1 total views, 1 today

 

Greg Welch, Gary Bishop, “An Introduction to the Kalman Filter”, Technical ...

Greg Welch, Gary Bishop, “An Introduction to the Kalman Filter”, Technical Report, TR 95-041, University of North Carolina at Chapel Hill, 2004 Okay, let’s start […]

3 total views, 3 today

 

Rudolph van der Merwe, Arnaud Doucet, Nando de Freitas, Eric Wan, “The unsc...

Rudolph van der Merwe, Arnaud Doucet, Nando de Freitas, Eric Wan, “The unscented particle filter”, Technical report. Cambridge University. Engineering Department. 2000 None

1 total views, 1 today

 

F. Gustafsson, F. Gunnarsson, N. Bergman, U. Forssell, J. Jansson, R. Karls...

F. Gustafsson, F. Gunnarsson, N. Bergman, U. Forssell, J. Jansson, R. Karlsson, J. Nordlund, 揚article filters for positioning, navigation, and tracking? IEEE Transactions on Signal […]

2 total views, 2 today