Email Login
News | Research | DeepLearning | Seminar | Q&A


IEEE Journal of Selected Topics in Signal Processing
Special Issue on Cooperative Signal Processing for Heterogeneous
and Multi-Task Wireless Sensor Networks

Aim and Scope

Portable devices usually operate on their own to solve a single or multiple signal processing tasks in a non-cooperative fashion. To achieve superior performance without a dedicated and power-hungry central device, distributed and cooperative processing techniques over wireless sensor networks (WSNs) have received a lot of attention. However, traditional WSNs typically assume an homogeneous setting, in which the cooperation is limited to homogeneous devices that observe the same phenomenon and that are interested in solving a single network-wide signal processing task.

Due to the heterogeneity of the devices, which may belong to the so-called Internet-of-Things in today’s digital age, there is a growing interest in system configurations that overcome the limitations of traditional WSNs. Toward this goal, these systems, referred to as heterogeneous and multi-task WSNs, generalize the homogeneous WSNs to settings, in which randomly located heterogeneous devices cooperate with each other although they observe different but overlapping phenomena, and are interested in solving different but related signal processing tasks. Since the cooperation takes place among devices that generate a large volume of data and that may have different observation models and targeted tasks, the algorithm design needs to address different new challenges of big data analytics to allow for a superior performance as compared to the case where the devices would operate on their own, or where they would exchange raw sensor data in an uncontrolled fashion. In particular, besides keeping minimal communication bandwidth and transmit power when solving the multiple tasks simultaneously, the new challenges require a novel theoretical framework for distributed detection, classification, estimation, coding and topology inference when the devices can have different goals (e.g., the estimation of signals with partially overlapping latent subspaces or detection of different but overlapping sets of events) and modes of operation (e.g., different sampling rates, image resolution). Moreover, as the devices may be selfish and/or malicious, new operating principles need to be designed in order to encourage cooperation and avoid selfish/malicious behavior.

This special issue covers the signal processing theory, modeling, algorithms, and implementation aspects related to heterogeneous multi-tasks WSNs and their use in various applications.

Topics of interest include (but are not limited to):

  • Ad-hoc heterogeneous and multi-task wireless sensor networks (and applications thereof)
  • Adaptive distributed learning over multi-task networks
  • Multi-task decentralized and distributed optimization
  • Big data analytics over distributed multi-task networks
  • Multi-task distributed detection and labeling
  • Distributed multi-task parameter and signal estimation
  • Audio/speech or image processing over distributed multi-task networks
  • Distributed localization and tracking over multi-task networks
  • Distributed topology inference and control
  • Cooperative communications over heterogeneous networks
  • Game-theoretical tools for trust management and cooperation stimulation over multi-task networks

Important Dates:

Manuscript submission due: June 1, 2016
First review completed: August 15, 2016
Revised manuscript due: October 1, 2016
Second review completed: December 1, 2016
Final manuscript due: January 1, 2017
Publication date: April 2017

Prospective authors should visit the JSTSP page for information on paper submission. Manuscripts should be submitted using the Manuscript Central system.

Lead Guest Editor:
Abdelhak M. Zoubir, Technische Universit¨at Darmstadt, Germany,

Guest Editors:
Daniel P. Palomar, Hong Kong University of Science and Technology, Hong Kong,
Jorge Plata-Chaves, KU Leuven, Belgium,
Alejandro Ribeiro, University of Pennsylvania, USA,
Anna Scaglione, Arizona State University, USA,

번호 제목 글쓴이 날짜 조회 수
38 ETRI Journal, Vol. 38, No. 3, June 2016 GreatMind 2016.06.03 203
37 [Journal issue] Image and Vision Computing: Alert 26 May-1 June GreatMind 2016.06.03 65
36 [Journal issue] Pattern Recognition: Alert 20 May-26 May GreatMind 2016.05.27 122
35 [CFP] Federated Conferences on AI, CS Education-ABET, Software Engineering, e-Learning, e-Business GreatMind 2016.05.27 150
34 [CFP] Call for Proposals ICIP 2021 GreatMind 2016.05.26 113
33 [Journal issue] Pattern Recognition Letters: Alert 19 May-25 May GreatMind 2016.05.26 92
32 [Journal Issue] Computer Vision and Image Understanding: Alert 12 May-18 May GreatMind 2016.05.19 57
31 [CFP] IEEE Transactions on Computational Imaging - Special Issue on Extreme Imaging GreatMind 2016.05.16 78
30 [CFP] ICACCI 2016 Main tracks GreatMind 2016.05.12 156
29 [CFP] JSTSP Special Issue on Spoofing and Countermeasures for Automatic Speaker Verification GreatMind 2016.05.12 103
28 [CFP] ETRI Journal: Special Issue on Software and Digital Content Technologies GreatMind 2016.05.11 56
27 [CFP] IEEE JSTSP - Signal Processing and Machine Learning for Education and Human Learning at Scale GreatMind 2016.05.10 76
26 [CFP] IEEE Region 10 Humanitarian Technology Conference 2016 GreatMind 2016.05.04 71
» [CFP] IEEE Journal of Selected Topics in Signal Processing GreatMind 2016.05.02 61
24 [CFP] IEEE TENCON2016 GreatMind 2016.05.01 97
23 [Journal Issue] Pattern Recognition Letters: Alert 21 April-27 April GreatMind 2016.04.29 50
22 [CFP] IEEE HealthCom'16 Call for Submissions GreatMind 2016.04.27 55
21 [CFP] Joint Conferences on Security, Networks, Cyber-physical Systems, & IoT (July 25-28, 2016, Las Vegas, USA) GreatMind 2016.04.22 113
20 [Journal issue] Pattern Recognition Letters: Alert 15 April-21 April GreatMind 2016.04.22 47
19 [CFP] IEEE DataCom 2016 - Submission Deadline: April 30, 2016 (Firm) GreatMind 2016.04.21 44