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IJSTR >> Volume 9 - Issue 1, January 2020 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

Ant Swarm Based Mobile Sink Data Aggregation With Token System For Reserved Forest Monitoring Application

[Full Text]



P.Paruthi Ilam Vazhuthi, Dr.S.P.Manikandan



Mobile sink, Network lifetime, Ant Swarm, Data aggregation, Forest monitoring, Overhead.



Wireless sensor networks are the collection of tiny and compact devices are deployed in the particular area for monitoring some parameters. Forest monitoring, habitat monitoring, industrial monitoring and structural monitoring are the trending applications in sensor networks. However due to scarcity of limited resources such as memory, transmission range, Bandwidth and Battery power, life time improvement of the sensor network is the major problem facing by the researcher. To get better life time of the sensor network, mobile sink is used in the reserved forest monitoring application. A novel Ant swarm approach is proposed for data aggregation through mobile sink to prolong the life span and reduce the overhead of sensor network. For better enhancement of lifetime of individual entity in the sensor network for forest monitoring, Drones can be used to carry the sink node for data aggregation. Mobile sink node is continuously transmitting the tokens to the sensor node within the coverage area of sink node. Sensor nodes send the sensed data with its node identity after arrival of token message from the sink. When the sink node is out of transmission range from any sensor node then the sensed data is forwarded with neighbor node continuously and check whether the sink node is in transmission range or not. By using the concept of ant line walking, data aggregation is done with minimal overhead and better lifetime improvement in WSN. Simulation results show that the proposed method enhance the network performance in terms of different performance evaluation metrics. The life time is improved with 30 to 40% when compared with various existing mobile sink data aggregation approach.



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