Markov Decision Process based Switching for Wireless Sensor Network

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2017 by IJETT Journal
Volume-46 Number-9
Year of Publication : 2017
Authors : Madhuri U. Choudhari, Prof. Jyoti R. Yemul
DOI :  10.14445/22315381/IJETT-V46P287

Citation 

Madhuri U. Choudhari, Prof. Jyoti R. Yemul "Markov Decision Process based Switching for Wireless Sensor Network", International Journal of Engineering Trends and Technology (IJETT), V46(9),490-494 April 2017. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Abstract
Wireless Sensor Networks (WSNs) consist of sensor nodes and the sensor nodes are capable of collecting, sensing and gathering data from the environment. These networks have extensive application in disaster management, habitat monitoring, security, and military, etc. Wireless sensor nodes are very small in size and very low battery power and have limited processing capability. Tree topology in WSN is used to minimize the energy consumption which is useful technique. Markov Decision Process (MDP) switching algorithm has been designed for sustainable data collection tree to reduce energy consumption in the wireless sensor network. Sensor nodes are arranged with independent energy level inn tree and while performing the operations of WSN nodes energy is harvested. The main aim of this MDP based technique is to reduce energy consumption is tree topology according the energy of levels node. To increase the efficiency of the network the recharging of node technique can be use to low powered nodes so that their energy is reused. Wind energy and solar energy is useful resource for renewable of energy. According to speed of wind the generated energy is stored in to capacitors then by requirement of node, energy is utilized. With wind energy solar energy can also be used for charging nodes of WSN. According to different season solar power can be utilized.

 References

[1] Rashmi Ranjan Rout, Sai Krishna M and Shalinee Gupta, “Markov Decision Process Based Switching Algorithm for Sustainable Rechargeable Wireless Sensor Networks” DOI10.1109/JSEN.2016.2519399, IEEE Sensors Journal.
[2] Sabyasachi Mukhopadhyaya, Debadatta Dashb, Asish Mitrac,Paritosh Bhattacharyad “A comparative study between seasonal wind speed by Fourier and Wavelet analysis” National Institute of Technology Agartala, Agartala-799055, India.
[3] Mohammad Abu Alsheikh, Dinh Thai Hoang, Dusit Niyato, Hwee-Pink Tan, Shaowei Lin "Markov Decision Process with Apllications in Wireless Sensor Network : A Survey" IEEE Communications Surveys & Tutorials, 2015.
[4] Vipin Pal, Girdhari Singh, R. P. Yadav " Balanced Cluster Size Solution to Extend Lifetime of Wireless Sensor Networks" IEEE Internet of Things Journal, 2015.
[5] Liansh+++eng Tan and Mou Wu "Data Reduction in Wireless Sensor Network: A heirachical LMS Prediction Approch" DOI 10.1109/JSEN.2015. 2504106, IEEE Sensors Journal.
[6] Zheng Zhang, Zhenbo Li and Jipain chen “Energy Efficient Low delay Strategy for Low power Wireless Sensor Network”, 2013 IEEE International Conference on Green Computing, DOI 10.1109.
[7] Sk Kajal Arefin Imon, Adnan Khan, Mario Di Franscesco, and Sajal k. Das “Energy Efficient Randomized Switching for maximization Lifetime in Tree Based Wireless Sensor Network” 2014 IEEE/ACM Transactions on Networking.
[8] Majidreza Shams Zahraie, Alireza Zareh Farkhady, Abolfazl Toroghi Haghighat “Increasing network Lifetime By optimum Placement od Sensors in Wireless Sensor Networks” 2009:11th International conference on Computer Modelling and Simulation DOI 10.1109/UksIM.2009.43.
[9] Zhezhuang Xu, Liquan Chen, cailian chen, xinping guan “Joint clustering and routing design for reliable and efficient Data Collection in Large-scale Wireless Sensor Networks” DOI 10.1109/IJOT.2015.2482363, IEEE Internet of Things of Jornal.
[10] Abhishek Chunawale, Sumedha Sirsikar "Minimization of Average Energy Consumption to Prolong Lifetime of Wireless Sensor Network" 2014IEEE Global Conference on Wireless Computing and Networking(GCWCN).
[11] D.Sharmila, R.Sujitha & G.Rajkumar "On Improving the Lifetime of Wireless Sensor Networks Using Virtual Scheduling Backbone Replacement" 2013 IEEE Conference on International and Communication Technologies.
[12] Kalyan Sasidhar, Sreeresmi R, Rekha P " A WSN Lifetime Improvement Algorithm Repaing benefits of data aggregation and State Transitions" 2014 IEEE Global Humanitarian Technology Conference September 26-27, 2014.
[13] Chao-Tsun Chang, Chih-Yung Chang, Member, IEEE, Shenghui Zhao, Jian-Cheng Chen, and Tzu-Lin Wang "SRA: A Sensing Radius Adaptation for Maximizing Network Lifetime in WSNs"DOI 10.1109/TVT.2016.2522645,IEEE Transactions on Vehicular Technology.

Keywords
Wirreless sensor network, Markov Decision Process, Wind speed, Solar energy.