New Directions for Pervasive Computing in Logistics

Abstract This paper investigates the new trends in the field of “pervasive” or “ubiquitous” computing in logistics. Over the past two decades, research challenges in pervasive computing have evolved following the rapid progress of information and communication technology. Researchers are working to create an “Internet of Things” that globally interconnects smart devices and sensor networks. Technologies such as wireless communication, ubiquitous sensors, and passive or semi-passive RFID, are essential to monitor the transport chain. “Pervasive adaptation” is a new research challenge that has been recently introduced to describe system's ability to autonomously recognize the situation and adapt to situational changes. For example, it is expected that intelligent parcels that can observe and evaluate current environmental conditions including traffic information, velocity, new orders, temperature, or storage conditions, and decide adaptations such as changing transport route or destination and swapping vehicle. In order modern ubiquitous computing devices to become fully functional they need to overcome compatibility and security problems; these issues as well as potential solutions are explored in this paper. On the other hand, as new technology such as Ultra High Frequency RFID becomes more mature, it is launching into ubiquitous status in commerce and society.

[1]  Marina C. Terzi,et al.  Marketing Dynamic Simulation Modelling in High Tech Laboratories , 2011 .

[2]  Panagiotis Trivellas,et al.  Using E‐S‐QUAL to measure internet service quality of e‐commerce web sites in Greece , 2012 .

[3]  Diane J. Cook,et al.  Pervasive computing at scale: Transforming the state of the art , 2012, Pervasive Mob. Comput..

[4]  Damianos P. Sakas,et al.  Fuzzy Constraint Based Model for Efficient Management of Dynamic Purchasing Environments , 2008 .

[5]  Damianos P. Sakas,et al.  The Performance Management after Mergers and Acquisitions in High Technology Manufacturing Business , 2011 .

[6]  Nikolaos Konstantopoulos,et al.  A Dynamic Simulation Model of Organizational Culture and Business Strategy Effects on Performance , 2008 .

[7]  Damianos P. Sakas,et al.  The strategy of stakeholder briefing during merger negotiation in the bank market , 2009 .

[8]  Panagiotis Trivellas,et al.  Culture and MIS Effectiveness Patterns in a Quality Context: A Case Study in Greece , 2006 .

[9]  Yvonne Rogers,et al.  How to nudge in Situ: designing lambent devices to deliver salient information in supermarkets , 2011, UbiComp '11.

[10]  Panagiotis Trivellas,et al.  Investigating the Impact of Research and Development Strategy on Firm Performance , 2011 .

[11]  Mark Weiser The computer for the 21st century , 1991 .

[12]  Amiya Nayak,et al.  Integration of RFID and Wireless Sensor Networks , 2007 .

[13]  Alois Ferscha,et al.  20 Years Past Weiser: What's Next? , 2012, IEEE Pervasive Comput..

[14]  Theodore E. Simos,et al.  A fifth algebraic order trigonometrically-fitted modified runge-kutta zonneveld method for the numerical solution of orbital problems , 2005, Math. Comput. Model..

[15]  Damianos P. Sakas,et al.  Contribution of the Executives in Bank Sector Mergers: Application with a Simulation Model , 2008 .

[16]  Eric Paulos,et al.  Nurturing natural sensors , 2011, UbiComp '11.

[17]  Damianos P. Sakas,et al.  The Dimension of Communication in the Merger: Simulation with Dynamic Model , 2008 .

[18]  D. S. Vlachos,et al.  Simulated annealing for optimal ship routing , 2012, Comput. Oper. Res..

[19]  Pawel Rotter,et al.  A Framework for Assessing RFID System Security and Privacy Risks , 2008, IEEE Pervasive Computing.

[20]  Florian Michahelles,et al.  An Architectural Approach Towards the Future Internet of Things , 2011, Architecting the Internet of Things.

[21]  Suzanne Rivard,et al.  The Strategic Role of Information Technology Sourcing: a Dynamic Capabilities Perspective , 2010, ICIS.

[22]  Chengcheng Jiang,et al.  Study on the Components of Supply Chain's Dynamic Capabilities , 2011, 2011 International Conference on Management and Service Science.

[23]  Kevin Ashton,et al.  That ‘Internet of Things’ Thing , 1999 .

[24]  C. Clifford Defee,et al.  Changing perspective of capabilities in the dynamic supply chain era , 2010 .

[25]  Rob van Kranenburg,et al.  The Internet of Things : A Critique of Ambient Technology and the All-Seeing network of RFID , 2008 .

[26]  Nikolaos Konstantopoulos,et al.  Organizational Strategy and Business Environment Effects Based on a Computation Method , 2008 .

[27]  Marina C. Terzi,et al.  Pricing Strategy Dynamic Simulation Modelling within the High-Tech Sector , 2011 .

[28]  Damianos P. Sakas,et al.  Adaptive Neural Networks for Automatic Negotiation , 2008 .

[29]  Walter Lang,et al.  The Benefits of Embedded Intelligence - Tasks and Applications for Ubiquitous Computing in Logistics , 2008, IOT.

[30]  Panagiotis Trivellas,et al.  Investigating the impact of service quality and customer satisfaction on customer loyalty in mobile telephony in Greece , 2010 .

[31]  Paul Lukowicz,et al.  From Context Awareness to Socially Aware Computing , 2012, IEEE Pervasive Computing.

[32]  Damianos P. Sakas,et al.  Outsourcing or Insourcing in the High Technology Systems Sector in a Maritime Company , 2011 .

[33]  Panagiotis Trivellas,et al.  TQM and innovation performance in manufacturing SMEs: the mediating effect of job satisfaction , 2009, 2009 IEEE International Conference on Industrial Engineering and Engineering Management.

[34]  Damianos P. Sakas,et al.  Adaptive Techniques for Online Auctions , 2008 .

[35]  Damianos P. Sakas,et al.  The Role of Leadership in High Tech Manufacturing Companies in a Changing Environment , 2011 .

[36]  Bart Preneel,et al.  Toward More Secure and Reliable Access Control , 2012, IEEE Pervasive Computing.

[37]  Ronald L. Rivest,et al.  The blocker tag: selective blocking of RFID tags for consumer privacy , 2003, CCS '03.

[38]  Simon A. Dobson,et al.  Situation identification techniques in pervasive computing: A review , 2012, Pervasive Mob. Comput..

[39]  Damianos P. Sakas,et al.  THE VARIABLE OF COMMUNICATION IN THE FRANCHISE RELATIONSHIPS , 2010 .

[40]  Damianos P. Sakas,et al.  Selecting the Project Teams’ Members. A Challenging Human Resources Management Process for Laboratory Research , 2011 .

[41]  Stanley E. Fawcett,et al.  Information Technology as an Enabler of Supply Chain Collaboration: A Dynamic-Capabilities Perspective , 2011 .

[42]  D. S. Vlachos,et al.  Partitioned Linear Multistep Method for Long Term Integration of the N‐Body Problem , 2004 .

[43]  Panagiotis Trivellas,et al.  Investigating the mediation effect of satisfaction on the service quality and customer loyalty link: Empirical evidence from Greek customers of internet shops , 2009, 2009 IEEE International Conference on Industrial Engineering and Engineering Management.

[44]  Roy Want,et al.  An introduction to RFID technology , 2006, IEEE Pervasive Computing.