Emerging Wireless Communication and Network Technologies

This chapter discusses the emerging trends and research direction for advanced wireless technologies. This chapter also presents the necessity of spectral efficiency for next-generation wireless technologies by discussing different spectrum sensing techniques. Moreover, a recent survey reveals that almost 70% of the available spectrum is not utilized efficiently. Therefore, more research is needed to determine whether the spectrum is being used by primary user or not for efficient utilization of spectrum. This chapter analyses the sensing by identifying a few situations, and then these behaviours have been reported to the operator for further action. Generally, spectrum sensing techniques are classified into three such as transmitter detection, receiver detection and interference temperature detection. This chapter mainly focuses on the performance analysis of transmitter-based detection techniques, such as matched detection, energy detection and cyclostationary detection. In addition, the receiver operating characteristics (ROC) for various number of sensing samples are presented in this chapter.

[1]  Xia Wang,et al.  Fundamental Analysis on Data Dissemination in Mobile Opportunistic Networks With Lévy Mobility , 2017, IEEE Transactions on Vehicular Technology.

[2]  Vaskar Raychoudhury,et al.  A survey of routing and data dissemination in Delay Tolerant Networks , 2016, J. Netw. Comput. Appl..

[3]  X. Tao,et al.  Fiber‐Based Wearable Electronics: A Review of Materials, Fabrication, Devices, and Applications , 2014, Advanced materials.

[4]  Jesús Acosta Elías,et al.  Application of MADM Method VIKOR for Vertical Handoff in Heterogeneous Wireless Networks , 2012, IEICE Trans. Commun..

[5]  Hsi-Lu Chao,et al.  A conceptual model and prototype of Cognitive Radio Cloud Networks in TV White Spaces , 2012, 2012 IEEE Wireless Communications and Networking Conference Workshops (WCNCW).

[6]  Fumiyuki Adachi,et al.  Load-Balancing Spectrum Decision for Cognitive Radio Networks , 2011, IEEE Journal on Selected Areas in Communications.

[7]  Jitendra K. Tugnait,et al.  MAQ: A Multiple Model Predictive Congestion Control Scheme for Cognitive Radio Networks , 2017, IEEE Transactions on Wireless Communications.

[8]  Sujoy Saha,et al.  On design and implementation of a scalable and reliable Sync system for delay tolerant challenged networks , 2016, 2016 8th International Conference on Communication Systems and Networks (COMSNETS).

[9]  Juan-Carlos Cano,et al.  DTN Protocols for Vehicular Networks: An Application Oriented Overview , 2015, IEEE Communications Surveys & Tutorials.

[10]  Leonard Barolli,et al.  Performance Comparison of DTN Routing Protocols in Vehicular-DTN Environment , 2014, 2014 Ninth International Conference on Broadband and Wireless Computing, Communication and Applications.

[11]  Jean-Marie Bonnin,et al.  Routing protocols in Vehicular Delay Tolerant Networks: A comprehensive survey , 2014, Comput. Commun..

[12]  Hsi-Lu Chao,et al.  A cloud model and concept prototype for cognitive radio networks , 2012, IEEE Wireless Communications.

[13]  Oriol Sallent,et al.  A Belief-Based Decision-Making Framework for Spectrum Selection in Cognitive Radio Networks , 2016, IEEE Transactions on Vehicular Technology.

[14]  Mostafa Ammar,et al.  Multicasting in delay tolerant networks: semantic models and routing algorithms , 2005, WDTN '05.

[15]  Hongwei Zhu,et al.  Recent advances in wearable tactile sensors: Materials, sensing mechanisms, and device performance , 2017 .

[16]  Wenhui Zhang,et al.  Handover decision using fuzzy MADM in heterogeneous networks , 2004, 2004 IEEE Wireless Communications and Networking Conference (IEEE Cat. No.04TH8733).

[17]  Omid Moshtaghi,et al.  Using google glass to solve communication and surgical education challenges in the operating room , 2015, The Laryngoscope.

[18]  Dan Wang,et al.  An optimal operating frequency selection scheme in spectrum handoff for cognitive radio networks , 2015, 2015 International Conference on Computing, Networking and Communications (ICNC).

[19]  Ke Xu,et al.  A Survey of Social-Aware Routing Protocols in Delay Tolerant Networks: Applications, Taxonomy and Design-Related Issues , 2014, IEEE Communications Surveys & Tutorials.

[20]  Mark Billinghurst,et al.  A Survey of Augmented Reality , 2015, Found. Trends Hum. Comput. Interact..

[21]  Zhong Lin Wang.  From nanogenerators to piezotronics—A decade-long study of ZnO nanostructures , 2012 .

[22]  Joel J. P. C. Rodrigues,et al.  GeoSpray: A geographic routing protocol for vehicular delay-tolerant networks , 2014, Inf. Fusion.

[23]  Cecilia Mascolo,et al.  TACO-DTN: a time-aware content-based dissemination system for delay tolerant networks , 2007, MobiOpp '07.

[24]  Sonia Aïssa,et al.  Modeling and Analysis Framework for Multi-Interface Multi-Channel Cognitive Radio Networks , 2015, IEEE Transactions on Wireless Communications.

[25]  Jingzhu Wei,et al.  The Multiple Attribute Decision-Making VIKOR Method and its Application , 2008, 2008 4th International Conference on Wireless Communications, Networking and Mobile Computing.

[26]  Kyutae Lim,et al.  First Cognitive Radio Networking Standard for Personal/Portable Devices in TV White Spaces , 2010, 2010 IEEE Symposium on New Frontiers in Dynamic Spectrum (DySPAN).

[27]  Haitham S. Cruickshank,et al.  Delay- and Disruption-Tolerant Networking (DTN): An Alternative Solution for Future Satellite Networking Applications , 2011, Proceedings of the IEEE.

[28]  Philipp A. Rauschnabel,et al.  Augmented reality smart glasses: an investigation of technology acceptance drivers , 2016 .

[29]  I. Park,et al.  Stretchable, Skin‐Mountable, and Wearable Strain Sensors and Their Potential Applications: A Review , 2016 .

[30]  Ivana Murković Steinberg,et al.  System Architectures in Wearable Electrochemical Sensors , 2016 .

[31]  Su Wengui,et al.  A jury-based trust management mechanism in distributed cognitive radio networks , 2015, China Communications.

[32]  Pan Hui,et al.  Pocket switched networks and human mobility in conference environments , 2005, WDTN '05.