Resource Discovery in Activity-Based Sensor Networks

This paper proposes a service discovery protocol for sensor networks that is specifically tailored for use in human-centered pervasive environments. It uses the high-level concept of computational activities (as logical bundles of data and resources) to give sensors in activity-based sensor networks (ABSNs) knowledge about their usage even at the network layer. ABSN redesigns classical network-level service discovery protocols to include and use this logical structuring of the network for a more practically applicable service discovery scheme. Noting that in practical settings activity-based sensor patches are localized, ABSN designs a completely distributed, hybrid discovery protocol which is proactive in a neighbourhood zone and reactive outside, tailored so that any query among the sensors of one activity is routed through the network with minimum overhead, guided by the bounds of that activity. ABSN enhances the generic extended zone routing protocol with logical sensor grouping and greatly lowers network overhead during the process of discovery, while keeping discovery latency close to optimal

[1]  Leysia Palen,et al.  Participatory design in emergency medical service: designing for future practice , 2006, CHI.

[2]  George C. Polyzos,et al.  Extended ZRP: a routing layer based service discovery protocol for mobile ad hoc networks , 2005, The Second Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services.

[3]  Paolo Bonato,et al.  Using wearable sensors to measure motor abilities following stroke , 2006, International Workshop on Wearable and Implantable Body Sensor Networks (BSN'06).

[4]  Timothy W. Finin,et al.  Allia: alliance-based service discovery for ad-hoc environments , 2002, WMC '02.

[5]  Michael Nidd Timeliness of service discovery in DEAPspace , 2000, Proceedings 2000. International Workshop on Parallel Processing.

[6]  Abdelsalam Helal,et al.  Konark - a service discovery and delivery protocol for ad-hoc networks , 2003, 2003 IEEE Wireless Communications and Networking, 2003. WCNC 2003..

[7]  Jakob E. Bardram,et al.  Activity-based computing: support for mobility and collaboration in ubiquitous computing , 2005, Personal and Ubiquitous Computing.

[8]  Françoise Sailhan,et al.  Scalable Service Discovery for MANET , 2005, Third IEEE International Conference on Pervasive Computing and Communications.

[9]  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).

[10]  Liliana Grajales,et al.  Wearable multisensor heart rate monitor , 2006, International Workshop on Wearable and Implantable Body Sensor Networks (BSN'06).

[11]  Timothy W. Finin,et al.  GSD: a novel group-based service discovery protocol for MANETS , 2002, 4th International Workshop on Mobile and Wireless Communications Network.

[12]  David E. Culler,et al.  The nesC language: A holistic approach to networked embedded systems , 2003, PLDI '03.

[13]  Liang Cheng,et al.  Service Advertisement and Discovery in Mobile Ad hoc Networks , 2002 .

[14]  Ahmed Helmy,et al.  CARD: A Contact-based Architecture for Resource Discovery in Wireless Ad Hoc Networks , 2005, Mob. Networks Appl..