Challenges in utilizing aggregate logical sensor units for wireless sensory information networks

Historically, a large number of small and cheaper sensors are deployed to form a sensor network. This paper provides rationale behind using an aggregate logical sensor unit (ALSU) as a building block in a Wireless Sensory Information network (WSIN). In this architecture, a single ALSU is composed of many off-the-shelf sensor nodes in the manner similar to the Beowulf cluster concept. The highly capable, cost effective and flexible ALSUs built in this manner from several smaller physical sensor nodes, would enable high computation power and built-in reliability for sensor applications. The objective of this paper is to provide an alternative where energy and computation is not a limiting factor in order to achieve the operational objectives of WSIN applications. This paper highlights critical issues that need to be addressed in developing a framework where each ALSU could have the capability to perform required operations as dictated by an underlying application

[1]  Amy L. Murphy,et al.  Middleware to support sensor network applications , 2004, IEEE Network.

[2]  Deborah Estrin,et al.  Guest Editors' Introduction: Overview of Sensor Networks , 2004, Computer.

[3]  Ahmed Helmy,et al.  The effect of mobility-induced location errors on geographic routing in ad hoc networks: analysis and improvement using mobility prediction , 2004, 2004 IEEE Wireless Communications and Networking Conference (IEEE Cat. No.04TH8733).

[4]  Vijay Kumar,et al.  Environmental monitoring using wireless sensors , 2004 .

[5]  Ramesh Govindan,et al.  Networking support for query processing in sensor networks , 2004, CACM.

[6]  Deborah Estrin,et al.  Highly-resilient, energy-efficient multipath routing in wireless sensor networks , 2001, MOCO.

[7]  Gregory J. Pottie,et al.  Protocols for self-organization of a wireless sensor network , 2000, IEEE Wirel. Commun..

[8]  David A. Wagner,et al.  Security in wireless sensor networks , 2004, SASN '04.

[9]  Bhaskar Krishnamachari,et al.  An adaptive energy-efficient and low-latency MAC for data gathering in wireless sensor networks , 2004, 18th International Parallel and Distributed Processing Symposium, 2004. Proceedings..

[10]  Koen Langendoen,et al.  An adaptive energy-efficient MAC protocol for wireless sensor networks , 2003, SenSys '03.

[11]  Nitin H. Vaidya,et al.  An energy efficient MAC protocol for wireless LANs , 2002, Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies.

[12]  Deborah Estrin,et al.  Medium access control with coordinated adaptive sleeping for wireless sensor networks , 2004, IEEE/ACM Transactions on Networking.

[13]  Dharma P. Agrawal,et al.  Energy aware routing for spatio-temporal queries in sensor networks , 2005, IEEE Wireless Communications and Networking Conference, 2005.

[14]  Christian C. Enz,et al.  WiseNET: an ultralow-power wireless sensor network solution , 2004, Computer.

[15]  Ahmed Helmy,et al.  The effect of mobility-induced location errors on geographic routing in mobile ad hoc sensor networks: analysis and improvement using mobility prediction , 2004, IEEE Transactions on Mobile Computing.

[16]  Dharma P. Agrawal,et al.  Energy Aware Multi-path Routing for Uniform Resource Utilization in Sensor Networks , 2003, IPSN.

[17]  Suresh Singh,et al.  PAMAS—power aware multi-access protocol with signalling for ad hoc networks , 1998, CCRV.

[18]  Jack J. Dongarra,et al.  Building and Using a Fault-Tolerant MPI Implementation , 2004, Int. J. High Perform. Comput. Appl..

[19]  Philip Levis,et al.  Maté: a tiny virtual machine for sensor networks , 2002, ASPLOS X.

[20]  Viktor K. Prasanna,et al.  Issues in designing middleware for wireless sensor networks , 2004, IEEE Network.

[21]  Lui Sha,et al.  Dynamic Clustering for Acoustic Target Tracking in Wireless Sensor Networks , 2004, IEEE Trans. Mob. Comput..

[22]  Dharma P. Agrawal,et al.  Current Trends in Wireless Sensor Network Design , 2005, Int. J. Distributed Sens. Networks.

[23]  Dharma P. Agrawal,et al.  An Analytical Model for Information Retrieval in Wireless Sensor Networks Using Enhanced APTEEN Protocol , 2002, IEEE Trans. Parallel Distributed Syst..

[24]  John Anderson,et al.  Wireless sensor networks for habitat monitoring , 2002, WSNA '02.

[25]  Nalini Venkatasubramanian,et al.  Adaptive Middleware for Distributed Sensor Environments , 2003 .

[26]  Johannes Gehrke,et al.  Query Processing in Sensor Networks , 2003, CIDR.

[27]  Deborah Estrin,et al.  An energy-efficient MAC protocol for wireless sensor networks , 2002, Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies.

[28]  Mani Srivastava,et al.  Overview of sensor networks , 2004 .

[29]  Lui Sha,et al.  Dynamic clustering for acoustic target tracking in wireless sensor networks , 2003, IEEE Transactions on Mobile Computing.