Energy Efficient Communication in Ambient Assisted Living

Recent advancements in Ambient Assisted Living (AAL) have produced innovative ways to address the needs of people with impairments and elderly improving their quality of life at the stage when it is most desirable. A typical AAL system consists of ubiquitous computing, sensing and communication blocks where wireless ad hoc, body area and sensor networks play a vital role to facilitate the transmission of sensed data from physiological and ambient sensors to the health-care professionals or monitoring facilities. While the end-to-end communication architecture in a typical AAL system remains heterogeneous, the key functional blocks of wireless body area and sensor network impose significant challenges concerning reliability, efficient use of spectrum and energy efficiency. This chapter focuses on an important challenge concerning energy efficient communication in a multi-tier AAL system. Following a thorough analysis of energy efficiency requirements for communication architectures and protocols in AAL, we provide recent research outputs highlighting the design and development of a multi-tier communication protocol. The proposed communication protocol focuses on inter-Body Area Network (BAN) communication.

[1]  Jinsung Cho,et al.  WBAN Meets WBAN: Smart Mobile Space over Wireless Body Area Networks , 2009, 2009 IEEE 70th Vehicular Technology Conference Fall.

[2]  Choong Seon Hong,et al.  Data-Centric Multiobjective QoS-Aware Routing Protocol for Body Sensor Networks , 2011, Sensors.

[3]  Rudolf Hornig,et al.  An overview of the OMNeT++ simulation environment , 2008, Simutools 2008.

[4]  Antonio Manuel Ortiz,et al.  Adaptive routing for multihop IEEE 802.15.6 Wireless Body Area Networks , 2012, SoftCOM 2012, 20th International Conference on Software, Telecommunications and Computer Networks.

[5]  Stefano Chessa,et al.  Sensor data fusion for activity monitoring in the PERSONA ambient assisted living project , 2013, J. Ambient Intell. Humaniz. Comput..

[6]  Susanna Spinsante,et al.  Secure end-to-end communication for constrained devices in IoT-enabled Ambient Assisted Living systems , 2015, 2015 IEEE 2nd World Forum on Internet of Things (WF-IoT).

[7]  Andrés Felipe Murillo-Piedrahita,et al.  Wireless Sensor Networks for Ambient Assisted Living , 2013, Sensors.

[8]  Antonio Del Campo,et al.  Unobtrusive Monitoring of Physical Activity in AAL - A Simple Wearable Device Designed for Older Adults , 2015, ICT4AgeingWell.

[9]  Matt Welsh,et al.  Sensor networks for medical care , 2005, SenSys '05.

[10]  Lidia Fuentes,et al.  Self-configuring agents for ambient assisted living applications , 2012, Personal and Ubiquitous Computing.

[11]  Alex Mihailidis,et al.  A Survey on Ambient-Assisted Living Tools for Older Adults , 2013, IEEE Journal of Biomedical and Health Informatics.

[12]  Rosdiadee Nordin,et al.  Recent Advances in Wireless Indoor Localization Techniques and System , 2013, J. Comput. Networks Commun..

[13]  Samaneh Movassaghi,et al.  Energy efficient thermal and power aware (ETPA) routing in Body Area Networks , 2012, 2012 IEEE 23rd International Symposium on Personal, Indoor and Mobile Radio Communications - (PIMRC).

[14]  Stefano Cagnoni,et al.  Multi-sensor system for detection and classification of human activities , 2011, Journal of Ambient Intelligence and Humanized Computing.

[15]  Abdul Hanan Abdullah,et al.  A Survey of Routing Protocols in Wireless Body Sensor Networks , 2014, Sensors.

[16]  Zahoor Ali Khan,et al.  A new patient monitoring framework and Energy-aware Peering Routing Protocol (EPR) for Body Area Network communication , 2014, J. Ambient Intell. Humaniz. Comput..

[17]  Raúl Aquino Santos,et al.  Hybrid Routing Algorithm for Emergency and Rural Wireless Networks , 2009 .

[18]  Jaime Lloret Mauri,et al.  A smart communication architecture for ambient assisted living , 2015, IEEE Communications Magazine.

[19]  Subir Biswas,et al.  Modeling On-Body DTN Packet Routing Delay in the Presence of Postural Disconnections , 2011, EURASIP J. Wirel. Commun. Netw..

[20]  Yufeng Wang,et al.  Coherence time-based cooperative MAC protocol 1 for wireless ad hoc networks , 2011, EURASIP J. Wirel. Commun. Netw..

[21]  Mohsen Guizani,et al.  Asynchronous flow scheduling for green ambient assisted living communications , 2015, IEEE Communications Magazine.

[22]  Laura Montanini,et al.  Data Management in Ambient Assisted Living Platforms Approaching IoT: A Case Study , 2015, 2015 IEEE Globecom Workshops (GC Wkshps).

[23]  Mukhtiar Memon,et al.  Ambient Assisted Living Healthcare Frameworks, Platforms, Standards, and Quality Attributes , 2014, Sensors.

[24]  Chao Hu,et al.  A Wireless Sensor Network for Pervasive Medical Supervision , 2007, 2007 IEEE International Conference on Integration Technology.

[25]  Guangjie Han,et al.  LDPA: a local data processing architecture in ambient assisted living communications , 2015, IEEE Communications Magazine.

[26]  Vincent W. S. Wong,et al.  An Energy-Efficient Multipath Routing Protocol for Wireless Sensor Networks , 2006, IEEE Vehicular Technology Conference.