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Bioinspired evolutionary algorithm based for improving network coverage in wireless sensor networks.

Mohammadjavad Abbasi¹, Muhammad Shafie Bin Abd Latiff¹, Hassan Chizari¹

¹Universiti Technologi Malaysia, Malaysia.

Thescientificworldjournal

|April 3, 2014

Summary

This summary is machine-generated.

This study reviews wireless sensor network (WSN) coverage challenges. It explores bio-inspired evolutionary algorithms for optimizing sensor node deployment and improving area detection and network coverage.

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Area of Science:

Computer Science
Electrical Engineering
Artificial Intelligence

Background:

Wireless sensor networks (WSNs) rely on sensor nodes for area monitoring and data transmission.
Random deployment in WSNs presents challenges for effective target detection and area coverage.
Optimizing coverage is crucial for WSN efficiency and data collection.

Purpose of the Study:

To review and address area detection and coverage problems in wireless sensor networks.
To explore scenarios for sensor node movement to enhance network coverage.
To discuss area coverage and target detection models using evolutionary algorithms.

Main Methods:

Review of existing literature on WSN coverage problems.
Application of bio-inspired evolutionary algorithms for sensor node deployment optimization.
Development and discussion of area coverage and target detection models.

Main Results:

Identification of various coverage challenges in WSNs.
Demonstration of sensor node movement strategies for improved network coverage.
Analysis of evolutionary algorithms for optimizing coverage and detection.

Conclusions:

Bio-inspired evolutionary algorithms offer a promising approach to enhance WSN coverage.
Optimized sensor node deployment is key to effective area detection and monitoring.
Further research can refine these models for practical WSN applications.