Markov Decision Process based Switching for Wireless Sensor Network
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2017 by IJETT Journal|
|Year of Publication : 2017|
|Authors : Madhuri U. Choudhari, Prof. Jyoti R. Yemul
|DOI : 10.14445/22315381/IJETT-V46P287|
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
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.
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Wirreless sensor network, Markov Decision Process, Wind speed, Solar energy.