Challenges of eWALL Wireless Interoperability

Due to development of different technologies there has been significant improvement in quality of life. As a result of that, average person’s lifetime duration has been increased. That triggers the problem of independent living of senior citizens. One of the main concerns of the world today is how to enable senior citizens to live independently. As a response to that, systems like eWALL are being developed. eWALL for Active Long Living is a FP7 funded project and it aims to develop system which will enable elderly people to live independently. These systems consist of a large number of sensors which make wireless sensor network. In this paper, different wireless technologies that can be used for communication in systems that are designed to support independent living of elderly people, have been described. The most important focus is at wireless personal area network technologies, like ZigBee, Bluetooth, Bluetooth Low Energy and wireless local area network technologies (e.g., Wi-Fi). There are many obstacles in designing wireless sensor network and most of them concern energy efficiency and interoperability of different technologies that are being used for communication. The main challenge in the current technology world is tremendous increase of use of various wireless devices and technologies, which can cause relatively high interference, so that the wireless devices can stop working. Using cognitive radio in solving the interoperability problem of different wireless technologies in wireless sensor networks has become interesting research topic. In this paper, research on interoperability of different wireless technologies is presented. Using Spectrum Engineering Advanced Monte Carlo Analysis Tool wireless sensors network in home environment was modelled. Interference based on devices layout and activity was investigated. Also, possible improvements that can be made with cognitive radio are investigated and obtained results are given in this paper.

[1]  Jorge Higuera Contribution toward interoperability of wireless sensor networks based on IEEE1451 in environmental monitoring applications , 2010 .

[2]  Mihaela Cardei,et al.  IEEE 802.15.4: Low Rate Wireless Personal Area Networks (PANs) , 2008, Encyclopedia of Wireless and Mobile Communications.

[3]  Subhas Chandra Mukhopadhyay,et al.  Wireless sensors network based safe home to care elderly people: behaviour detection , 2011 .

[4]  Y. Srinivas Towards the Implementation of IoT for Environmental Condition Monitoring in Homes , 2014 .

[5]  Sabato Manfredi Congestion control for differentiated healthcare service delivery in emerging heterogeneous wireless body area networks , 2014, IEEE Wireless Communications.

[6]  Joseph Mitola,et al.  Cognitive radio: making software radios more personal , 1999, IEEE Wirel. Commun..

[7]  Subhas Mukhopadhyay,et al.  WSN- and IOT-Based Smart Homes and Their Extension to Smart Buildings , 2015, Sensors.

[8]  Rajab Challoo,et al.  An Overview and Assessment of Wireless Technologies and Co- existence of ZigBee, Bluetooth and Wi-Fi Devices , 2012, Complex Adaptive Systems.

[9]  Sunyoung Lee,et al.  Real-time Energy Monitoring and Controlling System based on ZigBee Sensor Networks , 2011, ANT/MobiWIS.

[10]  Özgür B. Akan,et al.  Cognitive radio sensor networks , 2009, IEEE Network.

[11]  Farid Touati,et al.  A comparative analysis of BLE and 6LoWPAN for U-HealthCare applications , 2013, 2013 7th IEEE GCC Conference and Exhibition (GCC).

[12]  Mahmoud Al-Qutayri,et al.  Integrated Wireless Technologies for Smart Homes Applications , 2010 .

[13]  Ramjee Prasad,et al.  Interoperability, Standardisation and Governance in the Era of Internet of Things (IoT) , 2011 .

[14]  Federico Viani,et al.  Wireless Architectures for Heterogeneous Sensing in Smart Home Applications: Concepts and Real Implementation , 2013, Proceedings of the IEEE.

[15]  Qi Hao,et al.  Bluetooth low energy for wearable sensor-based healthcare systems , 2014, 2014 IEEE Healthcare Innovation Conference (HIC).

[16]  Ian G. Harris,et al.  An on-demand scatternet formation and multi-hop routing protocol for BLE-based wireless sensor networks , 2015, 2015 IEEE Wireless Communications and Networking Conference (WCNC).

[17]  Ramjee Prasad,et al.  OFDM for Wireless Multimedia Communications , 1999 .

[18]  Joao P. S. Catalao,et al.  Smart Home Communication Technologies and Applications: Wireless Protocol Assessment for Home Area Network Resources , 2015 .