Designing efficient paths between base station and multi mobile sink nodes to transfer data in wireless sensor networks based on anchor nodes

  • Authors

    • Mahmood Z. Abdullah Assist. Prof. Dr. Mahmood Z. Abdullah,Mustansiriyah University, College of Engineering
    • Nadia A. Shiltagh Assist. Prof. Dr. Nadia A. Shiltagh, University of Baghdad, College of Engineering,Baghdad
    • Ahmed R. Zarzor Ahmed R. Zarzoor, Institute for Post-graduation Studies Iraqi Commission for Computer & informatics
    2018-12-05
    https://doi.org/10.14419/ijet.v7i4.16525
  • Anchor Nodes, Base station (BS), Quality of Service (QOS), Reference Node, Mobile Sink Node, Wireless Sensor Networks (WSNs).

  • Abstract

    A Wireless Sensor Networks (WSNs) has been implemented in a lot of applications such as smart homes, military, healthcare, etc. Thus, integrated all WSNs in a single large geographical network, which poses major challenge for designing efficient paths to transfer data be-tween all these WSNs. This study proposes a technique to design best short paths between multi-mobile sink nodes (SN) and single Base Station (BS) based on Anchor nodes (AN). The ANs are used to specify the BS location, with one Reference node that used to specify a mobile SN location in each WSN. Although, the best path is selected based on a number of hops, the distance between each SN and the B S. Furthermore, the path quality is measured by using Quality of Service (QoS) parameters. In this study, two scenarios are implemented using NS software (version 2.30) on the network framework consisted of four WSNs, with four static or mobile SNs, connected to six ANs around a single BS and four reference nodes. The simulation results show that the dynamic paths with mobile SNs improved overall net-work performance, because they give higher throughput and minimum delay and dropped packets in comparison to static paths with static SNs.

     

     

  • References

    1. [1] Constrained node-weighted steiner tree based algorithms for constructing a wireless sensor network to cover maximum weighted critical square grids," Computer Communications, vol. 81, pp. 52- 60. https://doi.org/10.1016/j.comcom.2015.07.027.

      [2] Y Gu, F. Ren, Y. Ji, J. Li, (2016), “The evaluation of sink mobility management in wireless sensor networks: A surveyâ€, IEEE Communications Surveys Tutorials, vol. 18, pp. 507-524 https://doi.org/10.1109/COMST.2015.2388779.

      [3] N. T. Nguyen, B. H. Liu, V T. Pham, and C. Y Huang, (2016), "Network under limited mobile devices: A new technique for mobile charging scheduling with multiple sinks," IEEE Systems Journal, pp 1-11

      [4] Y. Yim, K. Hoon Kim, M. Aldwairi and Ki-II Kim, (2018), “Energy-Efficient Region Shift Scheme to Support Mobile Sink Group in Wireless Sensor Networksâ€, Sensors, Vol. 18(1), pp. 679-706

      [5] Zhong, Peijun and Ruan, Feng (2018), “An Energy efficient multiple mobile sinks based routing algorithm wireless sensor networks†IOP Conference Series: Materials. Science and Engineering, Vol. 323, pp. 012029-012032 https://doi.org/10.1088/1757-899X/323/1/012029.

      [6] Vicky Kumer and Ashok Kumer, (2017), “A Novel Approach for boosting Base Station Anonymity in a WSNâ€, International Journal of Advanced Computer Science and Applications (IJACSA), vol. 8, issue nine.

      [7] G. Han, J. Jiang, C. Zhang, T. Duong, M. Guizani, and G. Karagiannidis, (2016), “A Survey on Mobile Anchor Node Assisted Localization in Wireless Sensor Networksâ€, IEEE COMMUNICATIONS SURVEYS & TUTORIALS, VOL. 18, NO. Three, pp. 2220-2243 https://doi.org/10.1109/COMST.2016.2544751.

      [8] Catalina Aranzazu-Suescun and Mihaela Cardei, (2017), “Distributed Algorithms for Event Reporting in Mobile-Sink WSNs for Internet of Thingsâ€, TSINGHUA SCIENCE AND TECHNOLOGY, Vol. 22, No. 4, pp. 413–426 https://doi.org/10.23919/TST.2017.7986944.

      [9] Kamarei, M., Patooghy, A., Shahsavari, Z., Javad Salehi, M., (2018), “Lifetime Expansion in WSNs Using Mobile Data Collector†A Learning Automata Approach, Journal of King Saud University - Computer and Information Sciences, pp. 1-14

      [10] O.M. Alia, (2017), “Dynamic relocation of mobile base station in wireless sensor networks using a cluster-based harmony search algorithmâ€, Information Sciences, pp.76–95 https://doi.org/10.1016/j.ins.2016.12.046.

      [11] Yuvaraj. P and Manimozhi. M, (2017), “Impact of base station location in clustering schemes of WSNâ€, International Conference on Microelectronic Devices, Circuits and Systems (ICMDCS), pp. 1-5

      [12] P. Yuvaraj, and K. V. L. Narayana, (2016), “EESCA: Energy efficient structured clustering algorithm for wireless sensor networks,†International Conference on Computing, Analytics and Security Trends (CAST), pp. 523–527. https://doi.org/10.1109/CAST.2016.7915024.

      [13] Tohma Yakup, Kadir Kutlu and I. Abasikeles-Turgut Ipek, (2017), “A New Cluster Head Based Dynamic Base Station Positioning for Wireless Sensor Networkâ€, ELECTRONICS, pp. 1-6

      [14] T. Chin and K. Xiong, (2016), “MPBSD: A Moving Target Defense Approach for Base Station Security in Wireless Sensor Networksâ€, International Conference on Wireless Algorithms, Systems, and Applications, pp. 487-498 https://doi.org/10.1007/978-3-319-42836-9_43.

      [15] O. Cayirpunar, B. Tavli, E. Kadioglu-Urtis and S. Uludag, (2017), “Optimal Mobility Patterns of Multiple Base Stations for Wireless Sensor Network Lifetime Maximizationâ€, IEEE SENSORS JOURNAL, Vol. 17, No. 21, pp.7177-7188. https://doi.org/10.1109/JSEN.2017.2747499.

      [16] J. Wang, L. Zuo, J. Shen, B. Li, and S. Lee, (2015), “Multiple mobile sink-based routing algorithm for data dissemination in wireless sensor networks,†Concurrency Comput., Pract. Exper vol. 27, no. 10, pp. 2656–2667. https://doi.org/10.1002/cpe.3313.

      [17] M. Faheem and V.C. Gungor, (2018), “MQRP: Mobile sinks-based QoS-aware data gathering protocol for wireless sensor networks-based smart grid applications in the context of industry 4.0-based on internet of thingsâ€, Future Generation Computer Systems, Vol. 82, Pages 358-374. https://doi.org/10.1016/j.future.2017.10.009.

      [18] Aranzazu-Suescun C., Cardei M., (2017), “Reactive Routing Protocol for Event Reporting in Mobile-Sink Wireless Sensor Networksâ€, Q2SWinet’17, ACM, pp 43-50. https://doi.org/10.1145/3132114.3132116.

      [19] C. Tunca, S. Isik, M. Y. Donmez, and C. Ersoy. (2015). “Ring routing: an energy-e_cient routing protocol for wireless sensor networks with a mobile sink. IEEE Transactions on Mobile Computing, Vol. 14, No.9, pp. 1947-1960. https://doi.org/10.1109/TMC.2014.2366776.

      [20] Anisha P A and K Raghuveer, (2016), “Load Balanced Data Delivery Using Mobile Sink in Wireless Sensor Networkâ€, International Journal of Advanced Research in Computer Science & Technology (IJARCST), Vol. 4, Issue 2, pp. 88-91

      [21] Mohmood Z. Abdullah, Nadia A. Shiltagh and Ahmed R. Zarzoor, (2018), “Secure Mobile Sink Node location in Wireless Sensor Network using Dynamic Routing Protocolâ€, Association of Arab Universities Journal of Engineering Sciences, accepted published date 25/6/2018

      [22] H. P. Mistry and N. H. Mistry, (2015), “RSSI based localization scheme in wireless sensor networks: A survey,†in Proc. 5th Int. Conf. Adv. Comput. Commun. Technol. (ACCT), pp. 647–652.Fauci AS, Braunwald E, Kasper DL & Hauser SL (2008), Principles of Harrison’s Internal Medicine, Vol. 9, 17thedn. McGraw-Hill, New York, NY, pp.2275–2304.

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  • How to Cite

    Z. Abdullah, M., A. Shiltagh, N., & R. Zarzor, A. (2018). Designing efficient paths between base station and multi mobile sink nodes to transfer data in wireless sensor networks based on anchor nodes. International Journal of Engineering & Technology, 7(4), 3810-3815. https://doi.org/10.14419/ijet.v7i4.16525

    Received date: 2018-07-30

    Accepted date: 2018-10-02

    Published date: 2018-12-05