Accepted Papers

    • Data Processing of Body Sensors Converged With Activity Recognition
      James Jin Kang, Tom H. Luan and Henry Larkin , Deakin University, Australia
      ABSTRACT
      Smartphone technology has become more popular and innovative over the last few years leading to the prevalence of wearable devices with greater capabilities to interact with Internet of Things (IoT), which may request health data to provide enhanced services. When these sensors are converged with IoT devices, the volume of transactions and traffic are expected to increase immensely due to the increased demand from the IoT network. Body sensors have constraints and limitations of battery power and computational capacity due to their restricted physical size as they are attached on or inside the body.This makes it crucial to save and conserve power consumption in order to reduce the frequency of replacing batteries which may involve invasive techniques into the body. To date there is little research in implementing intelligence onto body sensors to manage and control data processing and transmission to reduce transactions. This paper provides a novel approach and solution to managing and controlling body sensors via an inference system to transfer health data efficiently and effectively to other networks without burdening the workload on sensor devices. Using heart-rate sensors, we test how an Activity Recognition (AR) system can significantly identify human health-state-related activities. This is verified by experimented tests using vital signs with a demonstrated outcome of accelerometer sensors integrated with an Android app and wearable devices.
    • Performance Comparison DCM Versus QPSK fFor High Data Rates in the MBOFDM UWB System
      Naziha NOURI, Asma MESSAOUDI and Ridha BOUALLEGUE Higher School of Communications of Tunis, Sup'Com ,Tunisia
      ABSTRACT
      This paper presents the advantage of using a new modulation scheme called dual carrier Modulation (DCM) compared to classical Quadrature Phase Shift Keying (QPSK) modulation. This comparison is done at data transmission broadband in Multiband OFDM system (MBOFDM) based on Ultra Wide Band UWB. Simulation results show that the use of the modulation DCM for high data rates is more efficient compared with QPSK.
    • A Distributed Caching Approach for Improved Data Availability in Rural Wireless Mesh Networks
      Ayomide Ajayi, Christopher Edwards, Utz Roedig Lancaster University, United Kingdom
      ABSTRACT
      The performance of wireless mesh networks (WMNs) deployed for Internet access in rural settings is affected by several factors. Typically, deployments in African domains use cheap and computationally constrained devices with challenges such as power fluctuations, gateway congestion, VSAT communications asymmetry and inadequate bandwidth, which affects throughput under dynamic scenarios. Caching methods can offer improvement for content availability to ensure reliable quality of experience (QoE) for rural dwellers. Primarily, we integrate a modified multicast technique and overhearing for object caching and cache dissemination. We proposed a Distributed Overheard-object Caching Approach (DOCA) and evaluate the performance employing simulations. The outcome shows significant improvements over the random-path-cache-request (RPCR) strategy with increased data availability and reduced communication cost in terms of response time for the outlined rural scenarios. Moreover, the optimization of gateway load help to considerably conserve network resources such as bandwidth and nodal energy.
    • Waveform Comparison and Nonlinearity Sensitivities of FBMC, UFMC and W-OFDM Systems
      Changyoung An, Byeongjae Kim, and Heung-Gyoon Ryu , Chungbuk National University , Korea
      ABSTRACT
      Recently, new waveforms for the 5th generation cellular system have been studied in many ways. UFMC, FBMC(filter bank multi-carrier) and W-OFDM(window orthogonal frequency division multiplexing) waveforms are very strong candidates as a new waveform for 5G system. In this paper, we have evaluated the spectrum characteristic and BER performance of the waveforms under the effect of nonlinear HPA. Also, we like to show the comparison of the time-frequency resources of each system because it would be very important to estimate the spectral efficiecy and communication throughput. As simulation results, it is confirmed that OOB power of each system increases, and OOB power increase of FBMC system is the biggest. Additionally, we have confirmed that performance of every system is degraded by strength of HPA nonlinearity, and every system needs the PAPR reduction methodfor the nonlinear distortion compensation and power saving, even though it would be more complicated. Comparison table for the time-frequency resources requirement for the each modulation systems is included.
    • Rating and Monitoring Google-Play Apps' Energy Consumption on Android Smartphones
      Ahmed Sameh Abdulla El-Masri , Prince Sultan University , KSA
      ABSTRACT
      The crust of this paper is that current smartphones power saving strategies can be improved towards saving more power and/or gain more user satisfaction only if they start incubating “preventive” and/or user customized power saving plans in addition to traditional detective strategies. This paper develops a mixed preventive/detective power saving strategy which will help in saving the battery power without heavily replying on the power of the same battery for detecting abusers (only detective strategies). This helps towards supporting the user with a preventive plan that could give him/her an idea about what to run or don’t run followed by monitoring detective strategy to report on abusers. The paper develops a six stars rating schema in order to rate applications in Google Play android apps store in terms of power consumption (similar to appliances' power consumption ratings). This will help the users to have an idea of the power consumption habits of each application before installing the application (preventive). Google Play "Permissions" are traditionally used for security, privacy, and monetary control. This paper presents a first time usage of "Google Paly Permissions" in the area of power consumption. With the help of power measurement tool (Power Tutor), we measure power consumption of the components of the smartphone that are linked to specific permissions such as: processor, screen, camera, audio, vibration, Bluetooth, WiFi, Cellular, flash light, microphone, GPS, etc. These measurements are used to compute the "Stars Rating" of the Google Play Apps.
    • WSN Applications in Agricultural Environment Monitoring Systems
      Mohamed Rawidean Mohd Kassim and Ahmad Nizar Harun , MIMOS, Ministry of Science, Technology and Innovation, Malaysia
      ABSTRACT
      One of the most interesting fields having an increasing need of WSN is agricultural environment monitoring. The real-time data collected through WSN from large agricultural data bases and integration with big data technology help to develop more accurate decision support systems. Agricultural environment monitoring has become an important field of control and protection, providing real-time system and control communication with the physical world. The proposed system collects and monitors information related to the growth environment of crops using WSN. In this paper an example of AEMS using wireless sensors and WSN in a palm oil plantation will be explained. Wireless sensors are used to monitor the humidity of a mother palm to find the best time to start a controlled pollination.
    • A Spectrum Decision Framework Based on Self Organized Map for Cognitive Radio Ad hoc Networks
      Zahraa Abd El-Hamid and Abd El-Halim A. Zkry, El-Shorouk Academy, Egypt, F. Abd El-samie and T. salem, Menoufia University, Egypt
      ABSTRACT
      Cognitive Radio (CR) is one of the promising technologiesto improve the spectrum utilization in wireless communication networks. Itis able to sense the spectrum, determine the vacant bands thenexploit these free bands in opportunistic approaches. In this work, a novel of channel selection algorithm for CR Ad Hoc Network (CRAHN) based on learning algorithm is presentedto solve the sensing errors problems and ensure better management.This learning algorithm, Self-Organized Map (SOM) witha class of artificial neural networks, no prior knowledge or supervision is required to projects high-dimensional data onto two-dimensional map. The proposed scheme gives a better performance compared to other techniques, such as the Best Fit Channel selection (BFC) and theLongest Idle Time Channel selection (LITC), since it aggregatesthe sensing results to avoid sensing errors. In BFC, each CR user selects the channel thatexactly fit its desired time for transmissionamong the primary user (PU) free channels, while in LITC the CR user selects the free channel that has the longest expected idle time regardless of its transmission time requirements. Our proposal concerns important parametersother than the idle duration that affect the selection process where these parameters are ignored at the other algorithms. By a set of modeling simulations, we highlight the performance improvement by the proposed scheme over BFC, LITC, and a random channel selection algorithm (RA) under different number of CRs, and different channel capacity availability. Simulation results show that the performance parameters of the proposed scheme is significantly superior to that of BFC, LITC, and RA in terms of Spectrum opportunity utilization, Average interference ratio, Packet delivery ratio, average throughput, and End-to-end delay.
    • Spectrum Allocation with Multi-homing for Cognitive Heterogeneous Networks
      Lei Xu IEEE Member, and A. Nallanathan IEEE Senior Member, King's College , London
      ABSTRACT
      In this paper, a spectrum allocation problem with multi-homing technology is studied for cognitive heterogeneous networks. The spectrum allocation are subject to constraints in therequiredtransmissionrateforheterogeneousconstantbitrate and variable bit rate services. The spectrum allocation among secondary MTs is solved by a convex optimization theory. To obtain the optimal spectrum allocation, a spectrum allocation algorithm is proposed via the dual decomposition method. Simulation results demonstrate that the proposed algorithm improves the quality of service for secondary MTs significantly.

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