• Double threshold authentication using body area radio channel characteristics

      Zhao, Nan; Ren, Aifeng; Hu, Fangming; Zhang, Zhiya; Ur-Rehman, Masood; Zhu, Tianqiao; Yang, Xiaodong; Alomainy, Akram; Xidian University, China; University of Bedfordshire; et al. (Institute of Electrical and Electronics Engineers Inc., 2016-06-06)
      The demand of portable and body-worn devices for remote health monitoring is ever increasing. One of the major challenges caused by this influx of wireless body area network (WBAN) devices is security of user's extremely vital and personal information. Conventional authentication techniques implemented at upper layers of the Open System Interconnection (OSI) model usually consumes huge amount of power. They also require significant changes at hardware and software levels. It makes them unsuitable for inherently low powered WBAN devices. This letter investigates the usability of a double threshold algorithm as a physical layer security measure in these scenarios. The algorithm is based on the user's behavioral fingerprint extracted from the radio channel characteristics. Effectiveness of this technique is established through experimental measurements considering a variety of common usage scenarios. The results show that this method provides high level of security against false authentication attacks and has great potential in WBANs.
    • On the usage of history for energy efficient spectrum sensing

      Syed, Tazeen Shabana; Safdar, Ghazanfar Ali; University of Bedfordshire (IEEE, 2015-03-31)
      Spectrum sensing is one of the most challenging issues in cognitive radio networks. It provides protection to primary users (PUs) from interference and also creates opportunities of spectrum access for secondary users (SUs). It should be performed efficiently to reduce number of false alarms and missed detection. At the same time, spectrum sensing should be energy efficient to ensure the longevity of cognitive radio devices. This work presents a novel scheme which investigates the usage of history for energy efficient spectrum sensing in infrastructure cognitive radio networks. The presented scheme employs an iteratively developed history processing database. It is shown that usage of history helps predicting PU activity and results into reduced spectrum scanning by SUs thereby improving the sensing related energy consumption.
    • Reduced early handover for energy saving in LTE networks

      Kanwal, Kapil; Safdar, Ghazanfar Ali; University of Bedfordshire (IEEE, 2015-12-17)
      Long-term evolution (LTE) facilitates users with high data rate at the cost of increased energy consumption. eNodeBs are main energy hungry elements in LTE networks. Since power consumption directly affects the operational expenditure, thus the provision of cost effective services with adequate quality of service (QoS) has become a major challenge. This letter exploits the phenomenon of handover and presents a novel hybrid idea of reduced early handover with bandwidth expansion to achieve improved energy saving in LTE networks. Through system level simulations, the effectiveness of the proposed scheme is demonstrated. It is shown that the proposed energy saving scheme achieves around 35% energy efficiency compared to benchmark and other state of the art while still maintaining acceptable level of radio link failure.