Location-Based Sleep Scheduling of Event Driven Sensor Node in Wireless Sensor Networks

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2017 by IJCTT Journal
Volume-48 Number-3
Year of Publication : 2017
Authors : Ms.RakshaGound, Prof. M. L. Bangare
DOI :  10.14445/22312803/IJCTT-V48P123

MLA

Ms.RakshaGound, Prof. M. L. Bangare "Location-Based Sleep Scheduling of Event Driven Sensor Node in Wireless Sensor Networks". International Journal of Computer Trends and Technology (IJCTT) V48(3):112-117, June 2017. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
Wireless Sensor Networks (WSNs) contains of sensor nodes and the sensor nodes are capable collecting, sensing and gathering data from the environment. These networks have broad application in disaster management, habitat monitoring, security, and military, etc. Wireless sensor nodes are tiny in size and small battery power and have limited processing capability. Sleep scheduling is a very important technique in WSNs and helps in reducing the energy consumption by reducing use of sensor nodes. The main aim of sleep schedule to collect data in an energy efficient manner and due to this, the network lifetime is improved. Sleep scheduling plays a significant role in extending network lifetime. Existing sleep scheduling algorithms cause an extremely unbalanced energy usage, and due to this, some sensors reduce the overall network`s lifetime. The proposed system uses a sensor node to which event occurs and transmits data to base station and its neighbor nodes in a particular area of WSN and which improves energy efficiency. The sleep scheduling based on the location of node minimizes the power consumption of WSN. The simulation result shows that the resulting representative data achieved using the proposed algorithm have better throughput and average energy consumption than those achieved using CLSS1 and CLSS2 algorithms.

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Keywords
Sleep scheduling, energy efficiency, wireless sensor networks.