A Novel Deployment Scheme to Enhance the Coverage in Wireless Sensor Network

Sateesh, Vishnu Anugrahith; Kumar, Animesh; Priyadarshi, Rahul; Nath, Vijay

doi:10.1007/978-981-15-5546-6_82

Cited by 15 publications

(1 citation statement)

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“…Here, the strength of Grasshopper optimization is used to enhance the exploitation phase of the Bees algorithm. [27] reported a sensor deployment technique based on the space between the sensor node and its neighboring sensors to improve the coverage area after a random deployment. This method capitalizes on the coverage of the detected area by forcing the sensor to change its position toward the area with a lower sensor density.…”

Section: Related Workmentioning

confidence: 99%

A localization and deployment model for wireless sensor networks using arithmetic optimization algorithm

Bhat

Venkata

2022

Peer-to-Peer Netw. Appl.

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With the advancement of sensor technologies, Wireless Sensor Networks (WSN) are envisioning a rich variety of promising services in many fields. WSN is formed by the deployment of sensor nodes in the regions of interest using a deterministic or random deployment strategy. The random deployment strategy is more suitable in large monitoring areas and harsh environments. But, in this type of deployment, coverage holes and disconnected networks can exist. Important events may get unnoticed reducing the reliability of the networks. Since the locations of nodes are unknown in a randomly deployed WSN, it is difficult to locate the holes. For this, we are proposing a localization and deployment model. The localization algorithm uses Arithmetic Optimization Algorithm (AOA) and the results of this algorithm are further used to develop a deployment model to achieve a completely connected network. This algorithm is tested in various fields. The algorithm is able to localize nodes accurately and identify the coverage holes with an error rate of less than 0.27% when the Average Localization Error (ALE) is within 5m.

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Section: Related Workmentioning

confidence: 99%