66 research outputs found

    Geographical forwarding algorithm based video content delivery scheme for internet of vehicles (IoV)

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    This is an accepted manuscript of an article published by IEEE Multimedia Communications Technical Committee in MMTC Communications – Frontiers on 31/07/2020, available online: https://mmc.committees.comsoc.org/files/2020/07/MMTC_Communication_Frontier_July_2020.pdf The accepted version of the publication may differ from the final published version.An evolved form of Vehicular Ad hoc Networks (VANET) has recently emerged as the Internet of Vehicles (IoV). Though, there are still some challenges that need to be addressed in support IoV applications. The objective of this research is to achieve an efficient video content transmission over vehicular networks. We propose a balanced video-forwarding algorithm for delivering video-based content delivery scheme. The available neighboring vehicles will be ranked to the vehicle in forwarding progress before transmitting the video frames using proposed multi-score function. Considering the current beacon reception rate, forwarding progress and direction to destination, in addition to residual buffer length; the proposed algorithm can elect the best candidate to forward the video frames to the next highest ranked vehicles in a balanced way taking in account their residual buffer lengths. To facilitate the proposed video content delivery scheme, an approach of H.264/SVC was improvised to divide video packets into various segments, to be delivered into three defined groups. These created segments can be encoded and decoded independently and integrated back to produce the original packet sent by source vehicle. Simulation results demonstrate the efficiency of our proposed algorithm in improving the perceived video quality compared with other approache

    Green network protocols and algorithms

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    Lloret, J.; Ghafoor, KZ.; Rawat, DB.; Nasser, Y. (2015). Green network protocols and algorithms. Journal of Network and Computer Applications. 58:192-193. https://doi.org/10.1016/j.jnca.2015.11.004S1921935

    A comprehensive survey on congestion control techniques and the research challenges on VANET

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    The nature of vehicular mobility and high speed of vehicular ad hoc network (VANET) with dynamic change in the network topology let the vehicular remain as one of the most challenging problems in vehicular-to-vehicular (V2V) communications. Information dissemination is the major problem in VANET with a fixed bandwidth which is causing congestion on the resources, such as channels and affects the performance of the important application, especially when the emergency or secure transmission of messages is exchanged between the vehicles-to-vehicles communication. To mitigate these problems and introduce a safe vehicular environment in urban and highway, congestion detection and control has been considered and with various strategies and techniques which is take the attention of researchers in VANET. In our survey we mentioned recent techniques and approaches which is used in congestion detection and control and applied different matrices and parameters which is used to evaluate these approaches. In addition, the study also explained the limitation and problems that face the current congestion detection and control schemes, finally we present various solution approach and future expectations in vehicular communication

    Realistic and Efficient Radio Propagation Model for V2X Communications

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    Multiple wireless devices are being widely deployed in Intelligent Transportation System (ITS) services on the road to establish end-to-end connection between vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) networks. Vehicular ad hoc networks (VANETs) play an important role in supporting V2V and V2I communications (also called V2X communications) in a variety of urban environments with distinct topological characteristics. In fact, obstacles such as big buildings, moving vehicles, trees, advertisement boards, traffic lights, etc. may block the radio signals in V2X communications. Their impact has been neglected in VANET research. In this paper, we present a realistic and efficient radio propagation model to handle different sizes of static and moving obstacles for V2X communications. In the proposed model, buildings and large moving vehicles are modeled as static and moving obstacles, and taken into account their impact on the packet reception rate, Line-of-sight (LOS) obstruction, and received signal power. We use unsymmetrical city map which has many dead-end roads and open faces. Each dead-end road and open faces are joined to the nearest edge making a polygon to model realistic obstacles. The simulation results of proposed model demonstrates better performance compared to some existing models, that shows proposed model can reflect more realistic simulation environments.Khokhar, RH.; Zia, T.; Ghafoor, KZ.; Lloret, J.; Shiraz, M. (2013). Realistic and Efficient Radio Propagation Model for V2X Communications. KSII Transactions on Internet and Information Systems. 7(8):1933-1954. doi:10.3837/tiis.2013.08.011S193319547

    An Intelligent Vertical Handover Scheme for Audio and Video Streaming in Heterogeneous Vehicular Networks

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    In heterogeneous vehicular networks, the most challenging issue is obtaining an efficient vertical handover during the vehicle roaming process. Efficient network selection process can achieve satisfactory Quality of Service for ongoing applications. In this paper, we propose an Intelligent Network Selection (INS) scheme based on maximization scoring function to efficiently rank available wireless network candidates. Three input parameters were utilized to develop a maximization scoring function that collected data from each network candidate during the selection process. These parameters are: Faded Signal-to-Noise Ratio, Residual Channel Capacity, and Connection Life Time. The results show that the proposed INS scheme is more efficient at decreasing handover delays, End-to-End delays for VoIP and Video applications, packet loss ratios as well as increasing the efficiency of network selection processes in comparison with the state of the arts.Sadiq, AS.; Abu Bakar, K.; Ghafoor, KZ.; Lloret, J.; Khokhar, R. (2013). An Intelligent Vertical Handover Scheme for Audio and Video Streaming in Heterogeneous Vehicular Networks. Mobile Networks and Applications. 18(6):879-895. doi:10.1007/s11036-013-0465-8S879895186Chen YS, Cheng CH, Hsu CS, Chiu GM (2009) Network mobility protocol for vehicular ad hoc networks. In: Wireless communications and networking conference, IEEE, pp 1–6Ghafoor KZ, Abu Bakar K, Lee K, AL-Hashimi H (2010) A novel delay-and reliability-aware inter-vehicle routing protocol. Netw Protoc Algorithm 2(2):66–88Ghafoor KZ, Abu Bakar K, Lloret J, Khokhar RH, Lee KC (2013) Intelligent beaconless geographical forwarding for urban vehicular environments. Wirel netw 19(3):345–362Prakash A, Tripathi S, Verma R, Tyagi N, Tripathi R, Naik K (2011) Vehicle assisted cross-layer handover scheme in nemo-based vanets (vanemo). Int J Internet Protoc Technol 6(1):83–95Lee C-W, Chen MC, Sun YS (2013) Protocol and architecture supports for network mobility with qos-handover for high-velocity vehicles. Wirel Netw 19(5):811–830Pereira P, Casaca A, Rodrigues JJPC, Soares VNGJ, Triay Joan, Cervelló-Pastor C (2011) From delay-tolerant networks to vehicular delay-tolerant networks. IEEE Commun Surv Tutor 1(4):1166–1182Lloret J, Canovas A, Catalá A, Garcia M (2013) Group-based protocol and mobility model for vanets to offer internet access. J Netw Comput Appl 36(3):10271038Ghafoor KZ, Lloret J, Abu Bakar K, Sadiq AS, Mussa SAB (2013) Beaconing approaches in vehicular ad hoc networks: A survey. Wirel Pers Commun 1–28. doi: 10.1007/s11277-013-1222-9Wang L, Kuo G (2011) Mathematical modeling for network selection in heterogeneous wireless networks?a tutorial. IEEE Commun Surv Tutor 15(1):271–292Nguyen-Vuong QT, Ghamri-Doudane Y, Agoulmine N (2008) On utility models for access network selection in wireless heterogeneous networks. In: Network operations and management symposium. Salvador, Bahia, pp 144–151Canovas A, Bri D, Sendra S, Lloret J (2012) Vertical WLAN handover algorithm and protocol to improve the IPTV QoS of the end user. ON, Ottawa, pp 1901–1905Varma VK, Ramesh S, Wong KD, Barton M, Hayward G, Friedhoffer JA (2003) Mobility management in integrated UMTS/WLAN networks. In: International conference on communications. 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    Seamless Outdoors-Indoors Localization Solutions on Smartphones: Implementation and Challenges

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    © ACM, 2016. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in http://doi.org/10.1145/2871166[EN] The demand for more sophisticated Location-Based Services (LBS) in terms of applications variety and accuracy is tripling every year since the emergence of the smartphone a few years ago. Equally, smartphone manufacturers are mounting several wireless communication and localization technologies, inertial sensors as well as powerful processing capability, to cater to such LBS applications. A hybrid of wireless technologies is needed to provide seamless localization solutions and to improve accuracy, to reduce time to fix, and to reduce power consumption. The review of localization techniques/technologies of this emerging field is therefore important. This article reviews the recent research-oriented and commercial localization solutions on smartphones. The focus of this article is on the implementation challenges associated with utilizing these positioning solutions on Android-based smartphones. Furthermore, the taxonomy of smartphone-location techniques is highlighted with a special focus on the detail of each technique and its hybridization. The article compares the indoor localization techniques based on accuracy, utilized wireless technology, overhead, and localization technique used. The pursuit of achieving ubiquitous localization outdoors and indoors for critical LBS applications such as security and safety shall dominate future research efforts.This research was sponsored by Koya University, Kurdistan Region-Iraq. The authors also would like to thank Dr. Ali Al-Sherbaz (from the University of Northampton-UK) and Dr. Naseer Al-Jawad (from the University of Buckingham-UK) for providing and improving the quality of this article in terms of academic and technical writing.Maghdid, HS.; Lami, IA.; Ghafoor, KZ.; Lloret, J. (2016). 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    An adaptive handover prediction scheme for seamless mobility based wireless networks

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    We propose an adaptive handover prediction (AHP) scheme for seamless mobility based wireless networks. That is, the AHP scheme incorporates fuzzy logic with AP prediction process in order to lend cognitive capability to handover decision making. Selection metrics, including received signal strength, mobile node relative direction towards the access points in the vicinity, and access point load, are collected and considered inputs of the fuzzy decision making system in order to select the best preferable AP around WLANs. The obtained handover decision which is based on the calculated quality cost using fuzzy inference system is also based on adaptable coefficients instead of fixed coefficients. In other words, the mean and the standard deviation of the normalized network prediction metrics of fuzzy inference system, which are collected from available WLANs are obtained adaptively. Accordingly, they are applied as statistical information to adjust or adapt the coefficients of membership functions. In addition, we propose an adjustable weight vector concept for input metrics in order to cope with the continuous, unpredictable variation in their membership degrees. Furthermore, handover decisions are performed in each MN independently after knowing RSS, direction toward APs, and AP load. Finally, performance evaluation of the proposed scheme shows its superiority compared with representatives of the prediction approaches.Sadiq, AS.; Fisal, NB.; Ghafoor, KZ.; Lloret, J. (2014). An adaptive handover prediction scheme for seamless mobility based wireless networks. Scientific World Journal. 2014. doi:10.1155/2014/610652S2014You, I., Han, Y.-H., Chen, Y.-S., & Chao, H.-C. (2011). Next generation mobility management. Wireless Communications and Mobile Computing, 11(4), 443-445. doi:10.1002/wcm.1136Sepúlveda, R., Montiel-Ross, O., Quiñones-Rivera, J., & Quiroz, E. E. (2012). WLAN Cell Handoff Latency Abatement Using an FPGA Fuzzy Logic Algorithm Implementation. Advances in Fuzzy Systems, 2012, 1-10. doi:10.1155/2012/219602Song, W. (2012). Resource reservation for mobile hotspots in vehicular environments with cellular/WLAN interworking. EURASIP Journal on Wireless Communications and Networking, 2012(1). doi:10.1186/1687-1499-2012-18Sadiq, A. S., Bakar, K. A., Ghafoor, K. Z., Lloret, J., & Khokhar, R. (2013). An Intelligent Vertical Handover Scheme for Audio and Video Streaming in Heterogeneous Vehicular Networks. Mobile Networks and Applications, 18(6), 879-895. doi:10.1007/s11036-013-0465-8Nahrstedt, K. (2011). Quality of Service in Wireless Networks Over Unlicensed Spectrum. Synthesis Lectures on Mobile and Pervasive Computing, 6(1), 1-176. doi:10.2200/s00383ed1v01y201109mpc008Magagula, L. A., Chan, H. A., & Falowo, O. E. (2011). Handover approaches for seamless mobility management in next generation wireless networks. Wireless Communications and Mobile Computing, 12(16), 1414-1428. doi:10.1002/wcm.1074Sadiq, A. S., Bakar, K. A., Ghafoor, K. Z., Lloret, J., & Mirjalili, S. (2012). A smart handover prediction system based on curve fitting model for Fast Mobile IPv6 in wireless networks. International Journal of Communication Systems, 27(7), 969-990. doi:10.1002/dac.2386Çeken, C., Yarkan, S., & Arslan, H. (2010). Interference aware vertical handoff decision algorithm for quality of service support in wireless heterogeneous networks. Computer Networks, 54(5), 726-740. doi:10.1016/j.comnet.2009.09.018Dutta, A., Das, S., Famolari, D., Ohba, Y., Taniuchi, K., Fajardo, V., … Schulzrinne, H. (2007). Seamless proactive handover across heterogeneous access networks. Wireless Personal Communications, 43(3), 837-855. doi:10.1007/s11277-007-9266-3Xu, C., Teng, J., & Jia, W. (2010). Enabling faster and smoother handoffs in AP-dense 802.11 wireless networks. Computer Communications, 33(15), 1795-1803. doi:10.1016/j.comcom.2010.04.044Holis, J., & Pechac, P. (2008). Elevation Dependent Shadowing Model for Mobile Communications via High Altitude Platforms in Built-Up Areas. IEEE Transactions on Antennas and Propagation, 56(4), 1078-1084. doi:10.1109/tap.2008.91920

    Advanced mobility handover for mobile IPv6 based wireless networks

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    We propose an Advanced Mobility Handover scheme (AMH) in this paper for seamless mobility in MIPv6-based wireless networks. In the proposed scheme, the mobile node utilizes a unique home IPv6 address developed to maintain communication with other corresponding nodes without a care-of-address during the roaming process. The IPv6 address for each MN during the first round of AMH process is uniquely identified by HA using the developed MN-ID field as a global permanent, which is identifying uniquely the IPv6 address of MN. Moreover, a temporary MN-ID is generated by access point each time an MN is associated with a particular AP and temporarily saved in a developed table inside the AP. When employing the AMH scheme, the handover process in the network layer is performed prior to its default time. That is, the mobility handover process in the network layer is tackled by a trigger developed AMH message to the next access point. Thus, a mobile node keeps communicating with the current access point while the network layer handover is executed by the next access point. The mathematical analyses and simulation results show that the proposed scheme performs better as compared with the existing approaches.Sadiq, AS.; Fisal, NB.; Ghafoor, KZ.; Lloret, J. (2014). Advanced mobility handover for mobile IPv6 based wireless networks. Scientific World Journal. 2014. doi:10.1155/2014/602808S2014You, I., Han, Y.-H., Chen, Y.-S., & Chao, H.-C. (2011). Next generation mobility management. Wireless Communications and Mobile Computing, 11(4), 443-445. doi:10.1002/wcm.1136Li, L., Ma, L., Xu, Y., & Fu, Y. (2014). Motion Adaptive Vertical Handoff in Cellular/WLAN Heterogeneous Wireless Network. The Scientific World Journal, 2014, 1-7. doi:10.1155/2014/341038Nahrstedt, K. (2011). Quality of Service in Wireless Networks Over Unlicensed Spectrum. Synthesis Lectures on Mobile and Pervasive Computing, 6(1), 1-176. doi:10.2200/s00383ed1v01y201109mpc008Cho, I., Okamura, K., Kim, T. W., & Hong, C. S. (2013). Performance analysis of IP mobility with multiple care-of addresses in heterogeneous wireless networks. Wireless Networks, 19(6), 1375-1386. doi:10.1007/s11276-012-0539-8Magagula, L. A., Chan, H. A., & Falowo, O. E. (2011). Handover approaches for seamless mobility management in next generation wireless networks. Wireless Communications and Mobile Computing, 12(16), 1414-1428. doi:10.1002/wcm.1074Sadiq, A. S., Bakar, K. A., Ghafoor, K. Z., Lloret, J., & Mirjalili, S. (2012). A smart handover prediction system based on curve fitting model for Fast Mobile IPv6 in wireless networks. International Journal of Communication Systems, 27(7), 969-990. doi:10.1002/dac.2386Sadiq, A. S., Bakar, K. A., Ghafoor, K. Z., Lloret, J., & Khokhar, R. (2013). An Intelligent Vertical Handover Scheme for Audio and Video Streaming in Heterogeneous Vehicular Networks. Mobile Networks and Applications, 18(6), 879-895. doi:10.1007/s11036-013-0465-8Lee, K.-W., Seo, W.-K., Cho, Y.-Z., Kim, J.-W., Park, J.-S., & Moon, B.-S. (2009). Inter-domain handover scheme using an intermediate mobile access gateway for seamless service in vehicular networks. International Journal of Communication Systems, 23(9-10), 1127-1144. doi:10.1002/dac.1076Lee, C.-W., Chen, M. C., & Sun, Y. S. (2012). Protocol and architecture supports for network mobility with QoS-handover for high-velocity vehicles. Wireless Networks, 19(5), 811-830. doi:10.1007/s11276-012-0503-7Castelluccia, C. (2000). HMIPv6. ACM SIGMOBILE Mobile Computing and Communications Review, 4(1), 48-59. doi:10.1145/360449.360474Modares, H., Moravejosharieh, A., Lloret, J., & Salleh, R. B. (2016). A Survey on Proxy Mobile IPv6 Handover. IEEE Systems Journal, 10(1), 208-217. doi:10.1109/jsyst.2013.2297705Modares, H., Moravejosharieh, A., Lloret, J., & Salleh, R. (2014). A survey of secure protocols in Mobile IPv6. Journal of Network and Computer Applications, 39, 351-368. doi:10.1016/j.jnca.2013.07.013Modares, H., Moravejosharieh, A., Salleh, R. B., & Lloret, J. (2014). Enhancing Security in Mobile IPv6. ETRI Journal, 36(1), 51-61. doi:10.4218/etrij.14.0113.0177Meneguette, R. I., Bittencourt, L. F., & Madeira, E. R. M. (2013). A seamless flow mobility management architecture for vehicular communication networks. Journal of Communications and Networks, 15(2), 207-216. doi:10.1109/jcn.2013.000034Al-Surmi, I., Othman, M., Abdul Hamid, N. A. W., & Ali, B. M. (2013). Enhancing inter-PMIPv6-domain for superior handover performance across IP-based wireless domain networks. Wireless Networks, 19(6), 1317-1336. doi:10.1007/s11276-012-0535-

    An Adaptive Handover Prediction Scheme for Seamless Mobility Based Wireless Networks

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    We propose an adaptive handover prediction (AHP) scheme for seamless mobility based wireless networks. That is, the AHP scheme incorporates fuzzy logic with AP prediction process in order to lend cognitive capability to handover decision making. Selection metrics, including received signal strength, mobile node relative direction towards the access points in the vicinity, and access point load, are collected and considered inputs of the fuzzy decision making system in order to select the best preferable AP around WLANs. The obtained handover decision which is based on the calculated quality cost using fuzzy inference system is also based on adaptable coefficients instead of fixed coefficients. In other words, the mean and the standard deviation of the normalized network prediction metrics of fuzzy inference system, which are collected from available WLANs are obtained adaptively. Accordingly, they are applied as statistical information to adjust or adapt the coefficients of membership functions. In addition, we propose an adjustable weight vector concept for input metrics in order to cope with the continuous, unpredictable variation in their membership degrees. Furthermore, handover decisions are performed in each MN independently after knowing RSS, direction toward APs, and AP load. Finally, performance evaluation of the proposed scheme shows its superiority compared with representatives of the prediction approaches
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