IPSN

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  • IPSN is the acronym for IEEE/ACM International Conference on Information Processing in Sensor Networks

Contents

[edit] About IPSN

IPSN is a conference on sensor networks with its main focus on information processing aspects of sensor networks. IPSN draws upon many disciplines including signal and image processing, information and coding theory, networking and protocols, distributed algorithms, wireless communications, machine learning, embedded systems design, and data bases and information management.

[edit] IPSN Events

IPSN started in year 2001 and following is a list of IPSN events from 2001 to 2007:

[edit] Ranking

Although there is no official ranking of academic conferences on wireless sensor networks, IPSN is widely regarded by researchers as one of the two (along with SenSys) most prestigious conferences focusing on sensor network research. SenSys focuses more on system issues while IPSN on algorithmic and theoretical considerations. The acceptance rate for 2006 was 15.2% for oral presentations, 25% overall (25 papers +17 poster presentations, out of 165 submissions accepted).


[edit] History

IPSN started off as a workshop at Xerox Palo Alto Research Center in 2001, and it was initially called Collaborative Signal Processing Workshop (CSP Workshop). Following the success of the first event, in 2003, the workshop defined its focus more on sensor networks and was renamed International Workshop on Information Processing in Sensor Networks (IPSN). The event kept the name acronym IPSN from 2003 onwards but the full name changed from International Symposium on Information Processing in Sensor Networks (2003 - 2004) to International Conference on Information Processing in Sensor Networks (2005 - 2007). It is expected that IPSN would keep the full name International Conference on Information Processing in Sensor Networks for the coming years.

[edit] SPOTS Track

In 2005 IPSN introduced a separate track on Sensor Platforms, Tools and Design Methods (SPOTS) to the conference. The focus of the IPSN track is more on information processing algorithms, and the focus of SPOTS track is on platform tools and design methods for network embedded sensors.

[edit] See also

[edit] External links