Controller Design for Energy Scheduling in Wireless Sensor Network Device Modeling


  • Sampath Kumar Pattem
  • Jayasankar K
  • Sumalatha V





Communication protocol, controller design, Device Modeling, energy scheduling, wireless sensor network..


Wireless sensor network is upcoming in the stream of wireless network. System design for node scheduled of wireless device. In device designing, the nodes are used for the transmission, the device with a coding approach for power planning in wireless network. The approach of power organizing is done by the thought of system topology and hub control level. Rather than the regular power organizing approach where in planning of power is completed considering detached hubs. In this paper the hub dispersion and system engineering is considered and in worry to the neighbouring hub trademark and power planning is done. This method of correspondence is seen to be more proficient in correspondence than the regular level topology approach, which takes after a disjoint based wake up organizing plan.



[1] Jiming Chen, Qing Yu, Bo Chai, Youxian Sun Yanfei Fan, Sherman Shen, “Dynamic Channel Assignment for Wireless Sensor Networks: A Regret Matching Based Approachâ€, IEEE Transactions on Parallel and Distributed Systems, future Issue, 2015.

[2] Haythem Bany Salameh, Mohammed F. Dhainat, Ali Al-hajji, Raed Aqeli, and Mohammad Fathi, “A Two-level Cluster-based Cognitive Radio Sensor Network: System Architecture, Hardware Design, and Distributed Protocolsâ€, IEEE International Conference on Cloud Engineering, IEEE, 2015.

[3] Y. Xu, S. Bien, Y. Mori, J. Heidemann, and D. Estrin,“Topology control protocols to conserve energy in wireless ad hoc networksâ€, IEEE Transactions on Mobile Computing, Technical Report CENS Technical Report 0006, Center for bedded Networked Sensing, January2003.

[4] YaXu, “Geography informed Energy Conservation for Ad Hoc Routingâ€, ACM/IEEE International Conference on Mobile Computing and Networking(ACM Mobicom), July 2001.

[5] J.H. Chang, L. Tassiulas, “Energy conserving routing in wireless ad-hoc networksâ€, IEEE INFOCOM, March 2000.

[6] ImrichChlamtaca, Chiara Petriolib, Jason Redi, “Analysis of Energy-Conserving Access Protocols for Wireless Identification Networksâ€, International Conference on Telecommunication Systems (ITC-97), March, 1997.

[7] J.H. Chang, L. Tassiulas, “Routing for maximum system lifetime in wireless ad-hoc networksâ€, 37th Annual Conf. on Communication, Control, and Computing, September 1999.

[8] ArunAvudainayagam, Wenjing Lou, and Yuguang Fang, “DEAR: A Device and Energy Aware Routing protocol for heterogeneous ad hoc networksâ€, Elsevier,2003.

[9] Omar Smail, Bernard Cousin, Rachida Mekki1 and ZoulikhaMekkakia, “A multipath energy-conserving routing protocol for wireless ad hoc networks lifetime improvementâ€, EURASIP Journal on Wireless Communications and Networking, 2014.

[10] AbdelfattahBelghith, “Traffic Aware Power Saving Protocol in Multi-hop Mobile Ad-hoc networksâ€, Journal of Networks, Vol. 2, No. 4, August 2007.

[11] Wei ye, John heidemann, Deborah estrin, “An Energy-Efficient MAC Protocol for Wireless Sensor Networksâ€, SciRes, June 2008.

[12] Jiang, B., B. Ravindran and H. Cho, "Probability-based prediction and sleep scheduling for energy-efficient target tracking in sensor networks". Mobile Computing, IEEE Transactions on. 12(4), 2013, pp. 735-747.

[13] Zhen, C., W. Liu, Y. Liu and A. Yan, "Energy-Efficient Sleep/Wake Scheduling for Acoustic Localization Wireless Sensor Network Node". International Journal of Distributed Sensor Networks, 2014.

[14] Chen, B., K. Jamieson, H. Balakrishnan and R. Morris, "Span: an energy-efficient coordination algorithm for topology maintenance in sensor wireless networks". Wirel.Netw. 8(5), 2002, pp. 481-494.

[15] Xu, Y., J. Heidemann and D. Estrin, “Geography-informed energy conservation for Sensor routingâ€, in Proceedings of the 7th annual international conference on Mobile computing and networking. 2001, ACM: Rome, Italy. p. 70-84.

[16] Bakhtiar, L.A. and S.J. Jassbi, "GAFBone: A new backbone construction for increasing lifetime in wireless sensor networks". International Journal of Computer Network and Information Security (IJCNIS). 6(6), 2014, pp. 18.

[17] Zhu, C., L.T. Yang, L. Shu, V. Leung, J.J. Rodrigues and L. Wang, "Sleep scheduling for geographic routing in duty-cycled mobile sensor networks". Industrial Electronics, IEEE Transactions on. 61(11), 2014, pp. 6346-6355.

[18] HalilYetgin, Kent TszKan Cheung, Mohammed El-Hajjar, and LajosHanzo, “A Survey of Network Lifetime Maximization Techniques in Wireless Sensor Networks†IEEE Communications Surveys & Tutorials, Vol.19, (2), 2017.

[19] Sheikh Tahir Bakhsh1, Rayed AlGhamdi2 , Abdulrahman H. Altalhi2 , Sabeen Tahir2 and Muhammad Aman Sheikh3†Adaptive Sleep Efficient Hybrid Medium Access Control algorithm for nextgeneration wireless sensor networksâ€, EURASIP Journal on Wireless Communications and Networking 2017

[20] BharathKeshavamurthy, AbhayNarasimha, Asif Ahmad A S and Poornima G, “VLSI implementation of a novel sensor architecture for Industrial Wireless Sensor Networksâ€, IEEE, International Conference on Computational Intelligence and Computing Research, 2016.

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How to Cite

Kumar Pattem, S., K, J., & V, S. (2018). Controller Design for Energy Scheduling in Wireless Sensor Network Device Modeling. International Journal of Engineering & Technology, 7(3.12), 1248–1253.
Received 2018-08-19
Accepted 2018-08-19
Published 2018-07-20