Sensor Deployment Strategy Based on Wireless Mesh Network for WSN

 
 
 
  • Abstract
  • Keywords
  • References
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  • Abstract


    Wireless sensor systems include numerous sensors interconnected by means of radio connections. They are typically applied to cover vast zones to scrutinize and computerize tasks. Due to the battery consumption powered sensors, these arrangements have fleeting uptime, and frequently have issues like adaptability and bandwidth capacity. To dominate these issues, the vast mainstream of the implementation is constrained to expand the amount of sinks in network, or utilizations of gateways to request sensors data. Deployment of these system is made out of some low-control, modest nodes that coordinate detecting units, handsets, and preparing unit having remote communication capacities. This setup is conveyed in the focused on region for aggregating natural data that will be transmitted to a remote base station. In this paper, solutions for streamline deployment are investigated by amalgamation of Wireless sensor systems and Wireless mesh systems.

    Deployment of proposed mesh systems is accomplished in a versatile spine for sensor to sensor communication by interfacing them.

     

     


  • Keywords


    Switched mesh, Sensing Data, Coverage, wireless mesh network, sensors deployment

  • References


      [1] Li R, Liao H, Liu X, Huang N. Lifetime optimization for linear wireless sensor networks under retransmission. International Journal of Ad Hoc and Ubiquitous Computing. 2016;22(3):153163(2016).

      [2] S. Singh; S.Chand; R. Kumar; B. Kumar Optimal sensor deployment for WSNs Ingrid environment, IET Journals 2013, Volume:49,Issue:1610401041,DOI:10.1049/el.2013.1514(2013).

      [3] Chih-Yung Chang; Chao-Tsun Chang; Yu-Chieh Chen; Hsu-Ruey Chang Obstacle-Resistant Deployment Algorithms for Wireless Sensor Networks IEEE Transactions on Vehicular Technology (Volume: 58, Issue: 6, July 2009) 10.1109/TVT.2008.2010619(2009).

      [4] S. K. L. V. Sai Prakash; Niranjan Patidar Area Based Coverage for Three Deployment Distributions and Their Connectivity in Wireless Sensor Networks, 2014 Fourth International Conference on Communication Systems and Network Technologies128 - 132, DOI: 10.1109/CSNT.2014.34(2014).

      [5] J. Chen, J, S. Entong and S. Youxian, S, “The deployment algorithms in wireless sensor networks: A survey,” Information Technology Journal, 8: 293-301,(2009).

      [6] Polastre, J.P., Szewczyk, R., Mainwaring, A., Culler, D., Anderson, J.: Analysis of wirelesssensor networks for habitat monitoring. In Raghavendra, C.S., Sivalingam, K.M., Znati, T., eds.: Wireless Sensor Networks. Kluwer Academic Publishers (2004).

      [7] Mei, Y., Xian, C., Das, S., Hu, Y.C., Lu, Y.H.: Sensor replacement using mobile robots Computer Communication. 30, 2615–2626 (2007).

      [8] Thrimurthi M ,Adithya B A, Thandavamurthi H R-Comparative Analysis of Different Deployment Techniques in Wireless Sensor Network, (IJEACS) International Journal of Engineering and Applied Computer Science (Volume: 02, Issue: 04) ISBN: 978-0-9957075-5-9 DOI: 10.24032/ijeacs/0204/04(2017).

      [9] Arpan Roy, AdwayMitra, Arijit Khan and DebashisSaha, “ Buffering Techniques in Sleep Doze Coordination and Grid Based Clustering Protocols as Power Management Schemes for Wireless Sensor Networks”, IEEE International Conference on Wireless, Mobile and Multimedia Networks, ISSN: 0537-9989, pp. 240 - 245, (2008).

      [10] Chen J., Wang X. The Coverage Problem in Heterogeneous Wireless Sensor Network: An Improved Algorithm of Virtual Forces , ISBN978-3-642-38459-2 Vol-255 Springer, Berlin, Heidelberg(2013).

      [11] Abhiram Singh,T. P. Sharma-A survey on area coverage in wireless sensor networks, International Conference on Control, Instrumentation , Communication and Computational Technologies (ICCICCT)978-1-4799-4190 2/14/$31.00IEEE(2014).

      [12] Punyasha Chatterjee, Sasthi C. Ghosh, and Nabanita Das-Load Balanced Coverage with Graded Node Deployment in Wireless Sensor Networks,IEEE TRANSACTIONS ON MULTI-SCALE COMPUTING SYSTEMS, VOL. 3, NO. 2(2017).

      [13] Tinka A., Watteyne T., Pister K. S. J., Bayen A. M. A decentralized scheduling algorithm for time synchronized channel hopping. ICST Trans. Mob. Commun. Appl.11:1–13(2011).

      [14] Lee M. J., Zhang R., Zhu C., Park T. R., Shin C.-S., Jeon Y.-A., Lee S.-H., Choi S.-S., Liu Y., Park S.-W. Meshing wireless personal area networks: Introducing IEEE 802.15.5. IEEE Commun. Mag.48:54–61(2010).

      [15] Christos Efstratiou, IliasLeontiadis, Cecilia Mascolo, Jon Crowcroft-A Shared Sensor Network Infrastructure ,ACM 978-1-4503-0344-6/10/11(2010).

      [16] J. Yick, B. Mukherjee, and D. Ghosal. Wireless sensor network survey. Computer Networks, 52(12):2292– 2230, ( 2008).

      [17] P.V. Naveen Kumar, Dr. H S Guru Prasad- A Study on Sensor Deployment strategies-International Journal of Computer Networks and Wireless Communications (IJCNWC), ISSN: 2250-3501 Vol.4, No 3(2014).

      [18] Corke P, Hrabar S, Peterson R, Saripalli D, Rus S, Sukhatme G.Autonomous deployment and repair of a sensor network using an unmanned aerial vehicle. In: IEEE international conference on robotics and automation- p. 3602–8(2004).

      [19] Chang Chih-Yung, Chen Yu-Chieh, Chang Hsu-Ruey. Obstacle resistant deployment algorithms for wireless sensor networks. IEEE Trans Veh Technol;58(6):2925–41(2009).


 

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Article ID: 15209
 
DOI: 10.14419/ijet.v7i3.8.15209




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