Mobile Agent and ACO Based Data Aggregation for Wireless Sensor Network

被引：0
作者：
Arshdeep Kaur [1 ]
Mani Bansal [2 ]
Dinesh Kumar [1 ]
机构：
[1] GZSCCET, MRSPTU, Punjab, Bathinda
[2] SC & SS, JNU, New Delhi
来源：
SN Computer Science | / 6卷 / 1期
关键词：
Ant colony optimization; Mobile agent; Nodes; Transmission; Wireless sensor networks;
D O I：
10.1007/s42979-024-03583-w
中图分类号：
学科分类号：
摘要：
Wireless sensor network is like a setup where lots of wireless nodes are placed randomly in a certain area. The main aim is to collect data from around and then send that data to the sink node for a specific parameter. We figured out a method for transmitting the data. In WSN (Wireless Sensor Network), it has to choose a path that goes through the leader node, to the cluster head, and then from the cluster head to sink node. This path is chosen using the Ant Colony Optimization (ACO) method, which is a genetic-based way of finding the best path. This network has a mobile agent that travels along a circular route. Different performance factors like the alive nodes, dead nodes, and energy used have shown a really good boost when compared to the basic ACO technique. The mobile agent moves to each node and chooses the movement path based on the Ant Colony Optimization technique. Every horizontal line of the cluster has a mobile agent moving along it. Every agent collects data from sensor nodes and sends them to a cluster head. The moving agent gathers data from those sensor nodes and then sends the data to the base station. It performs better when it comes to alive nodes, dead nodes, and energy use compared to other methods. © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2024.
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