Modeling and analysis of energy harvesting nodes in body sensor networks

A Markov based unified model for an energy harvesting node in a body sensor network is presented. Using the presented model, the probability of event loss due to energy run out is calculated. The results provide insight into the performance of energy harvesting nodes in a body sensor network as well as design requirements for such devices.

[1]  Paul Lukowicz,et al.  Activity Recognition of Assembly Tasks Using Body-Worn Microphones and Accelerometers , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[2]  Yuan-Ting Zhang,et al.  Physiological Signal Based Entity Authentication for Body Area Sensor Networks and Mobile Healthcare Systems , 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.

[3]  Joseph A. Paradiso,et al.  Energy Scavenging with Shoe-Mounted Piezoelectrics , 2001, IEEE Micro.

[4]  Gaetano Borriello,et al.  An ecosystem of platforms to support sensors for personal fitness , 2006, International Workshop on Wearable and Implantable Body Sensor Networks (BSN'06).

[5]  Guang-Zhong Yang,et al.  Pervasive body sensor network: an approach to monitoring the post-operative surgical patient , 2006, International Workshop on Wearable and Implantable Body Sensor Networks (BSN'06).

[6]  Thomas Falck,et al.  BASUMA - the sixth sense for chronically ill patients , 2006, International Workshop on Wearable and Implantable Body Sensor Networks (BSN'06).

[7]  Sandeep K. S. Gupta,et al.  Research challenges in wireless networks of biomedical sensors , 2001, MobiCom '01.

[8]  Andreas Krause,et al.  Context-aware mobile computing: learning context- dependent personal preferences from a wearable sensor array , 2006, IEEE Transactions on Mobile Computing.

[9]  Paolo Bonato,et al.  Analysis of the severity of dyskinesia in patients with Parkinson's disease via wearable sensors , 2006, International Workshop on Wearable and Implantable Body Sensor Networks (BSN'06).

[10]  Paul K. Wright,et al.  Energy scavenging for body sensor networks , 2007, BODYNETS.

[11]  Joseph A. Paradiso,et al.  Energy scavenging for mobile and wireless electronics , 2005, IEEE Pervasive Computing.

[12]  Emil Jovanov,et al.  Stress monitoring using a distributed wireless intelligent sensor system. , 2003, IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society.