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Special section on Pervasive Networked Sensing
Computer Communications 35 (2012) 649
Contents lists available at SciVerse ScienceDirect
Computer Communications journal homepage: www.elsevier.com/locate/comcom
Editorial
Special section on Pervasive Networked Sensing Wireless sensor networks represent a basic building block for pervasive computing. By offering distributed sensing, computation, and wireless communication, sensor networks lend themselves to countless pervasive applications. To date, wireless sensor networks have not gone mainstream, but they continue to offer exciting opportunities as a tool for domain scientists to sample their scenarios in both time and space. Though not entirely pervasive, wireless sensor networks do pervade the specific application scenarios they are deployed to observe and possibly control. This special section contains the extended version of three papers that were originally presented at the PerCom 2010 workshops. The first contribution, ‘‘Towards Real-Time Profiling of Sprints using Wearable Pressure Sensors, is an application-oriented paper. It describes the design, implementation, and deployment of an onbody sensor system for sprint training sessions. On-body sensor systems must be ergonomic and lightweight to minimize discomfort to the athletes. At the same time, they must also be highly robust as they are expected to operate on human bodies with very high rates of acceleration. High accuracy is essential, but so is affordability. The authors thoroughly present the design and performance evaluation of a system where inexpensive Force Sensitive Resistors on sensing nodes are employed to capture foot events. The second paper, ‘‘Rate Matching based Congestion Control and Fairness Abstraction in Wireless Sensor Networks’’, introduces
0140-3664/$ - see front matter Ó 2012 Elsevier B.V. All rights reserved. doi:10.1016/j.comcom.2012.01.014
a distributed congestion control algorithm for tree-based communication in wireless sensor networks that adaptively assigns a fair transmission rate to each node in the network. Each node regulates its own transmission rate as well as the one of its upstream nodes based on the difference between output and input traffic rates. Flexibility is a key feature of the algorithm, which is independent from the underlying routing strategy. The third contribution, ‘‘Energy Efficient Self-Organizing Control for Wireless Sensor Networks Inspired by Calling Behavior of Frogs’’ proposes an energy-efficient scheduling scheme for wireless sensor networks inspired by the behavior of the Japanese tree frog. More precisely, the authors draw inspiration from the calling and satellite roles of male Japanese frogs. Calling frogs jitter the timing of their calls to the female to maximize their chances of getting heard, while satellite frogs avoid calling if too many competing calling frogs are detected in close proximity. The guest editors Silvia Giordano Daniele Puccinelli University of Applied Sciences of Southern Switzerland (SUPSI), Switzerland E-mail addresses: [email protected] (S. Giordano), [email protected] (D. Puccinelli) Available online 24 January 2012
Contents lists available at SciVerse ScienceDirect
Computer Communications journal homepage: www.elsevier.com/locate/comcom
Editorial
Special section on Pervasive Networked Sensing Wireless sensor networks represent a basic building block for pervasive computing. By offering distributed sensing, computation, and wireless communication, sensor networks lend themselves to countless pervasive applications. To date, wireless sensor networks have not gone mainstream, but they continue to offer exciting opportunities as a tool for domain scientists to sample their scenarios in both time and space. Though not entirely pervasive, wireless sensor networks do pervade the specific application scenarios they are deployed to observe and possibly control. This special section contains the extended version of three papers that were originally presented at the PerCom 2010 workshops. The first contribution, ‘‘Towards Real-Time Profiling of Sprints using Wearable Pressure Sensors, is an application-oriented paper. It describes the design, implementation, and deployment of an onbody sensor system for sprint training sessions. On-body sensor systems must be ergonomic and lightweight to minimize discomfort to the athletes. At the same time, they must also be highly robust as they are expected to operate on human bodies with very high rates of acceleration. High accuracy is essential, but so is affordability. The authors thoroughly present the design and performance evaluation of a system where inexpensive Force Sensitive Resistors on sensing nodes are employed to capture foot events. The second paper, ‘‘Rate Matching based Congestion Control and Fairness Abstraction in Wireless Sensor Networks’’, introduces
0140-3664/$ - see front matter Ó 2012 Elsevier B.V. All rights reserved. doi:10.1016/j.comcom.2012.01.014
a distributed congestion control algorithm for tree-based communication in wireless sensor networks that adaptively assigns a fair transmission rate to each node in the network. Each node regulates its own transmission rate as well as the one of its upstream nodes based on the difference between output and input traffic rates. Flexibility is a key feature of the algorithm, which is independent from the underlying routing strategy. The third contribution, ‘‘Energy Efficient Self-Organizing Control for Wireless Sensor Networks Inspired by Calling Behavior of Frogs’’ proposes an energy-efficient scheduling scheme for wireless sensor networks inspired by the behavior of the Japanese tree frog. More precisely, the authors draw inspiration from the calling and satellite roles of male Japanese frogs. Calling frogs jitter the timing of their calls to the female to maximize their chances of getting heard, while satellite frogs avoid calling if too many competing calling frogs are detected in close proximity. The guest editors Silvia Giordano Daniele Puccinelli University of Applied Sciences of Southern Switzerland (SUPSI), Switzerland E-mail addresses: [email protected] (S. Giordano), [email protected] (D. Puccinelli) Available online 24 January 2012