Call for papers Springer Annals of Telecommunications (ISI and Scopus Indexed)
Special Issue on Belief Functions in Telecommunication and Networks In the last few years, Dempster-Shafer theory also known as Theory of Belief Functions (TBF) or Evidence theory have received growing attention in many fields of applications such as finance, technology, biomedecine, etc. This theory may be seen as a generalization framework of different instances such as probability, fuzzy sets and possibility theories. Using Demspster-Shafer belief functions to express available information allows considering two kind of uncertainty: aleatory uncertainty due to the variability of the variable of interest in the population and epistemic uncertainty due to a lack of knowledge on the state of the variable. Different sources of uncertainty and imprecision may arise in network and telecommunication domains. Such imperfection may be due to imprecision of many aspects regarding the environment: signal, data link, network, etc . For example, it may be due to communication links that might be unreliable, either due to operational tolerance levels or environmental factors. The theory of belief functions has proved to be particularly useful to represent and reason with partial information in a wide range of applications, including signal processing, coding, supervision, localization, resource provisioning, etc. In such case, the belief function theory provides a flexible framework for handling and mining imprecision and uncertainty as well as combining different disparate evidence about uncertain events. Indeed, this theory allows modeling different concepts such as imprecision, ambiguity, ignorance. Also, a variety of combination operators is available in the fusion process. This special issue is intended to provide the recent advances on the use of theory of Belief Functions in Telecommunication and Network Technologies. It focused on how Belief Functions has affect different aspects (protocols, algorithms, paradigm, energy, signal coding, etc.) for a large family of applications (Healthcare, Medical, Underwater, Vehicular, Robotic, etc.) using network technologies (Sensor Networks, MANET, VANET, etc.). In particular, authors are encouraged to submit papers addressing the fundamental and applications of mathematical tools such as fuzzy sets intervals, belief functions, random sets or imprecise probability models in Telecommunication and Network fields. We solicit papers covering all aspects of approaches and related topics with fundamental research and/or experimental studies. Papers submitted for consideration should describe original research not published or currently under review by other journals and conferences. Parallel submissions will not be accepted. All submitted papers will be rigorously reviewed and we will select papers based on their originality, timeliness, significance, and relevance to this SI. Key topics and domain applications to be covered in this special issue include but are not limited to: - Signal Coding - Resource Provisioning - Monitoring and Supervision - Localization and Deployment in AdHoc and Sensor Networks - Cognitive Radio Networks - Turbo code - Quality of Service and Quality of Experience - Network management and allocation, scheduling - Green, Smart, Underwater Communication - e-Health Application - Cloud Computing and Internet of things - Pervasive communication in autonomous application fields Guest editors: § Glenn Shafer (Honorary Guest Editor), Rutgers Business School �C Newark, USA § Latifa Oukhellou, IFSTTAR (ex. INRETS), France. § Abdelhamid Mellouk, UPEC, LiSSi, France § Lei Shu, Osaka University, Japan Papers must be written in English and describe original research not published or currently under review by other journals or conferences. Submissions should be sent according to the editorial procedure described in the instructions available at: http://www.annals-of-telecommunications.com/p_en_publish_6.html Proposed schedule - Manuscript submission: June 30, 2012 - Expected publication: 1st Semester 2013
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