Performance analysis of cross-layer approach about error control scheme for WBANs

In this paper, we analyze performance of our error control scheme in a cross-layer design for wireless body area networks (WBANs). As in our previous work, we have proposed an optimal QoS control scheme that employs a multiplexing layer for priority scheduling and a decomposable error control coding scheme for WBANs. However, a cross-layer approach has not been considered yet. In this paper, we utilize a crosslayer approach at physical (PHY) and medium access control (MAC) layers and analyze performance of our proposed error control scheme and the standard scheme. Numerical results show that our proposed scheme has better performances than the standard scheme. For instance, we show that the proposed system obtains over 6dB gain than the standard about the probability of unsuccessful transmission. Additionally, the case utilizing a schedule access protocol has better performances than a random access protocol.

[1]  Ryuji Kohno,et al.  Multiplexing and Error Control Scheme for Body Area Network Employing IEEE 802.15.6 , 2014, IEICE Trans. Commun..

[2]  S. Shiwani,et al.  A Novel approach for Optimizing Cross Layer among Physical Layer and MAC Layer of Infrastructure Based Wireless Network using Genetic Algorithm , 2013 .

[3]  Dragana Bajic,et al.  PHY-MAC Cross-Layer Approach to Energy-Efficiency and Packet-Loss Trade-off in Low-Power, Low-Rate Wireless Communications , 2013, IEEE Communications Letters.

[4]  Athanasios V. Vasilakos,et al.  A survey of wireless technologies coexistence in WBAN: analysis and open research issues , 2014, Wireless Networks.

[5]  Muhammad Zia,et al.  Cross-Layer Chase Combining With Selective Retransmission, Analysis, and Throughput Optimization for OFDM Systems , 2015, IEEE Transactions on Communications.

[6]  Mehmet Rasit Yuce,et al.  Wireless Body Area Network (WBAN) for Medical Applications , 2010 .

[7]  Divya Sharma,et al.  Body area networks: A survey , 2016, 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom).

[8]  Ryuji Kohno,et al.  Energy Efficiency Evaluation of ECC Scheme Utilizing Decomposable Codes in IEEE Std 802.15.6 Based WBANs , 2015, BODYNETS.

[9]  Ryuji Kohno,et al.  Error control scheme using decomposable codes for various QoS in multiple WBAN environment , 2015, 2015 9th International Symposium on Medical Information and Communication Technology (ISMICT).

[10]  Gil Engel,et al.  RF digital-to-analog converters enable direct synthesis of communications signals , 2012, IEEE Communications Magazine.

[11]  Ryuji Kohno,et al.  Performance analysis of multiplexing and error control scheme for body area networks , 2016, EURASIP J. Wirel. Commun. Netw..

[12]  Joel J. P. C. Rodrigues,et al.  Toward ubiquitous mobility solutions for body sensor networks on healthcare , 2012, IEEE Communications Magazine.

[13]  Hiroshi Yamada,et al.  Wearable wireless vital monitoring technology for smart health care , 2013, 2013 7th International Symposium on Medical Information and Communication Technology (ISMICT).

[14]  Baozhi Chen,et al.  Research challenges in computation, communication, and context awareness for ubiquitous healthcare , 2012, IEEE Communications Magazine.

[15]  Christian Bachmann,et al.  Low-power wireless sensor nodes for ubiquitous long-term biomedical signal monitoring , 2012, IEEE Communications Magazine.

[16]  Matti Hämäläinen,et al.  A cross-layer energy efficiency optimization model for WBAN using IR-UWB transceivers , 2015, Telecommun. Syst..

[17]  Gang Zhu,et al.  Robust QoS-Aware Cross-layer Design of Adaptive Modulation Transmission on OFDM Systems in High-Speed Railway , 2016, IEEE Access.