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<p>Wireless body area network (WBAN) is an essential technique for real-time monitoring of healthcare applications, but its operation is usually restricted by limited energy efficiency, data reliability issues, and a short duration of network life. An energy-efficient multi-hop protocol is introduced in this paper to optimize its routing through the use of a multi-parameter cost function; distance, residual energy, transmission delay, and data compression are considered. Also, M-EEMH integrates the Gauss-Markov mobility model to enhance adaptability in dynamic environments, ensuring efficient data transmission even under varying mobility conditions. M-EEMH increases data reliability by prioritizing key medical information while using adaptive compression methods that minimize the packet size thus improving bandwidth and energy utilization. Extensive simulations demonstrate that M-EEMH significantly outperforms ARMR and MCCA, achieving a reduction of 41.43% and 36.90% in average end-to-end delay, respectively. Also, it has improved packet delivery rate by 0.20% and 12.39%, and network lifetime by 3390 rounds and 200 rounds compared to ARMR and MCCA respectively. These results show how M-EEMH can ensure reliable and timely data transmission, which is essential for such healthcare applications. Proposed protocol also improves network lifetime employing energy efficient routing scheme. Hence, this routing scheme is robust and scalable for WBAN environment to support real-time health monitoring.</p>

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M-EEMH: an energy-efficient mobility aware multi-hop protocol for QoS-driven WBAN applications

  • 期刊论文

  • 发表日期：

    2025年9月3日

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  • Sohail Saif,
  • Ramesh Saha

摘要

Wireless body area network (WBAN) is an essential technique for real-time monitoring of healthcare applications, but its operation is usually restricted by limited energy efficiency, data reliability issues, and a short duration of network life. An energy-efficient multi-hop protocol is introduced in this paper to optimize its routing through the use of a multi-parameter cost function; distance, residual energy, transmission delay, and data compression are considered. Also, M-EEMH integrates the Gauss-Markov mobility model to enhance adaptability in dynamic environments, ensuring efficient data transmission even under varying mobility conditions. M-EEMH increases data reliability by prioritizing key medical information while using adaptive compression methods that minimize the packet size thus improving bandwidth and energy utilization. Extensive simulations demonstrate that M-EEMH significantly outperforms ARMR and MCCA, achieving a reduction of 41.43% and 36.90% in average end-to-end delay, respectively. Also, it has improved packet delivery rate by 0.20% and 12.39%, and network lifetime by 3390 rounds and 200 rounds compared to ARMR and MCCA respectively. These results show how M-EEMH can ensure reliable and timely data transmission, which is essential for such healthcare applications. Proposed protocol also improves network lifetime employing energy efficient routing scheme. Hence, this routing scheme is robust and scalable for WBAN environment to support real-time health monitoring.