Exposing resource tradeoffs in region-based communication abstractions for sensor networks
ACM SIGCOMM Computer Communication Review
Energy Scavenging for Mobile and Wireless Electronics
IEEE Pervasive Computing
Invited Talk: Thermal Energy Harvesting with Thermo Life
BSN '06 Proceedings of the International Workshop on Wearable and Implantable Body Sensor Networks
The Need for Cooperation and Relaying in Short-Range High Path Loss Sensor Networks
SENSORCOMM '07 Proceedings of the 2007 International Conference on Sensor Technologies and Applications
Monitoring of Physiological Parameters from Multiple Patients Using Wireless Sensor Network
Journal of Medical Systems
Wireless sensor networks for personal health monitoring: Issues and an implementation
Computer Communications
Highly reliable energy-saving MAC for wireless body sensor networks in healthcare systems
IEEE Journal on Selected Areas in Communications - Special issue on wireless and pervasive communications for healthcare
IEEE Transactions on Information Technology in Biomedicine - Special section on body sensor networks
Enabling technologies for wireless body area networks: A survey and outlook
IEEE Communications Magazine
Journal of Medical Systems
A Comprehensive Survey of Wireless Body Area Networks
Journal of Medical Systems
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A Wireless Body Area Sensor Network (WBASN) is composed of a set of sensor nodes, placed on, near or within a human body. WBASNs opt to continuously monitor the health conditions of individuals under medical risk, e.g., elders and chronically ill people, without keeping them in a hospital or restraining their motion. A WBASN needs to stay connected to local or wide area networks using wireless technologies in order to send sensor readings to a medical center. The WBASN nodes are implanted within the human body and would thus have limited energy supply. Since the mission of the WBASN is very critical, increasing the lifetime of nodes is essential in order to maintain both practicality and effectiveness. This paper presents a new Gateway Selection Algorithm (GSA) that factors in the use of energy harvesting technologies and dynamically picks the most suitable WBASN node that serves as a gateway to other wireless networks. The goal of GSA is to balance the load among the nodes by adaptively changing the gateway node in WBASN depending on the energy reserve of nodes. Computer modeling and simulations of the proposed GSA are carried out using OPNET. The simulation results demonstrate the effectiveness of the proposed GSA approach.