INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH VOLUME 9, ISSUE 01, JANUARY 2020 ISSN 2277-8616 961 IJSTR©2020 www.ijstr.org Ant Swarm Based Mobile Sink Data Aggregation With Token System For Reserved Forest Monitoring Application P.Paruthi Ilam Vazhuthi, Dr.S.P.Manikandan Abstract: 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. Index Terms: Mobile sink, Network lifetime, Ant Swarm, Data aggregation, Forest monitoring, Overhead. ——————————  —————————— 1 INTRODUCTION Wireless sensor network is self-organizing network and consists of spatially distributed sensor nodes which perform sensing, processing, storing and communication. Physical conditions and environmental conditions can be monitored by the various parameters like temperature, vibration, pollution, motion, sound etc. Energy and Bandwidth resources are very limited constrained in sensor network as shown in figure 1. Therefore the data gathering from the sensor node is quite difficult without compromise the overhead to enhance the life time of the network [9]. In few scenarios, Sensor node is ready with limited battery that is difficult to put back in high density forest environment. Hence the battery backup in the node is the important factor for lifespan of the network. Commonly the sensor nodes are ready with transceiver for communicating purpose, signal-processing circuits, and microcontrollers for processing the sensed information [1]. To increase the lifetime of the sensor network, clustering among the nodes plays major role in the network. Hierarchical routing protocols such as LEACH, APTEEN, and HEED take the minimum energy consumption by WSN [1]. In forest monitoring sensor network, Humans are unable to interfere into the forest for collecting the sensed data in each node and for replacing the battery in the sensor node. In existing method, all the sensor nodes are transmitting the sensed parameters to the sink in multihop fashion[ 5]. Hence the network consumes more overhead in terms of transmission power, Bandwidth, Power usage in each node entity. To reduce control overhead and prolong the lifetime of sensor network, Clustering of nodes are framed. In Highly densed forest areas, nodes coverage is the challenging one for data gathering [10]. Usually, the sensor nodes are deployed randomly through aircraft over the sky[11]. Sometimes the network may have worst coverage among the nodes, then the data routing from sensor node to sink is also complicate. In order to overcome this challenge, sink can be used to collect information by moving one point to another point. Drone can be used to carry the sink node in this application, so that drastic reduction of overhead will be achieved and network life time may be increased [12]. In this proposed Ant Swarm approach, Data gathering can be done through sending tokens to the sensor nodes. If any node left the transmission rage of mobile sink node then it forwards to neighbor node and check the tokens received from the sink. If the neighbor node is in the transmission range of sink then it sends their own sensed information and the data received from the previous node. Figure 1. Sensor Networ ————————————————  Mr.P.Paruthi Ilam Vazhuthi, is currently pursuing PhD program in Anna University, Chennai. E-mail: paruthi.ilaya.raaj@gmail.com  Dr.S.P.Manikandan is currently working as Professor and Head/CSE in Jerusalem College of Engineering, Chennai.