CFP : IEEE Journal on Selected Areas in Communications Issue on Self Organizing Distributed Collaborative Sensor Networks
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             IEEE Journal on Selected Areas in Communications 

         SELF-ORGANIZING DISTRIBUTED COLLABORATIVE SENSOR NETWORKS

   Sensor   networking   is   an   emerging   technology   that  promises
   unprecedented ability to monitor and manipulate the physical world via
   a  network  of  densely  distributed,  small  and inexpensive wireless
   sensor  nodes.  The  nodes  can  sense  (and  potentially actuate) the
   physical  environment  in a variety of modalities, including acoustic,
   seismic, thermal, and infrared. The network of compact sensor nodes is
   envisioned  to  be  deployable virtually anywhere: in air, from air to
   ground, underwater, in homes, on objects, in the battlefield, etc. The
   wirelessly  communicating nodes have the ability to self-organize into
   a  well-connected  network.  A  wide  range  of applications of sensor
   networks   has   already   been   envisioned,  including  geographical
   monitoring   (disaster   relief,  border  monitoring,  etc.),  machine
   monitoring  (in  a  home  or  factory,  on  a  submarine,  etc.),  and
   battlefield  operations  (tracking  and  classifying  moving  targets,
   e.g.).

   There  are  many  challenges  that  need to be overcome to practically
   realize  the  potential  of  sensor networks. Significant progress has
   been   made   in  key  networking  problems  and  information  routing
   techniques.  The  focus  of this issue is on two relatively unexplored
   important   areas:  1)  communication  techniques  and  protocols  for
   enabling  network  organization  and  operation,  and 2) collaborative
   signal  processing  (CSP)  algorithms  for  distributed  processing of
   multi-modal  information.  A  critical  constraint  in  designing  the
   communication   protocols   and   CSP   algorithms   is   the  limited
   communication  and  computational  ability  of the sensor nodes, which
   makes  the two problems interdependent. Furthermore, communication and
   CSP  techniques  also  impact  information routing in the network, and
   vice  versa.  In the context of this theme, original contributions are
   solicited in all relevant areas, including but not limited to:

     * Energy-   and  bandwidth-efficient  communication  techniques  for
       wireless ad hoc networks
     * Multiple access techniques (e.g., TDMA, FDMA, CDMA)
     * Communication     technologies     (narrowband,    wideband    and
       ultra-wideband)
     * Distributed source compression and coding
     * Distributed joint source-channel coding
     * Distributed multi-modal information fusion
     * Distributed signal estimation
     * Distributed detection, classification and tracking
     * Distributed source localization and beamforming
     * Distributed learning/exploratory information processing
     * Graphical models for information processing and routing
     * Interplay   between  information  processing,  communication,  and
       routing
     * Fault-tolerant CSP algorithms and communication protocols
     * Adaptive CSP algorithms and communication techniques
     * Sensor localization, synchronization and calibration
     * Mobility related issues

   Prospective authors should prepare their manuscript in accordance with
   the  IEEE  J-SAC  format  described  in  the  Information for Authors.
   Authors   should   submit   an  electronic  version  (PDF  format)  to
   jsac-sp-issue@ece.wics.edu according to the following schedule:

                 Manuscript Submission:   DECEMBER 1, 2003
                 Acceptance Notification: June 1, 2004
                 Final Manuscript Due:    September 1, 2004
                 Publication:             1st Quarter 2005

   Akbar Sayeed
   Department of ECE
   Univ of Wisconsin - Madison
   akbar@engr.wisc.edu Deborah Estrin
   CS Department
   Univ of California at Los Angeles
   destrin@cs.ucla.edu

   Greg Pottie
   Department of EE
   Univ of California at Los Angeles
   pottie@ee.ucla.edu Kannan Ramchandran
   Department of EECS
   Univ of California at Berkeley
   kannanr@eecs.berkeley.edu