JSQE: Joint Surveillance Quality and Energy Conservation for Barrier Coverage in WSNs

Area of Science:

• Computer Science
• Electrical Engineering
• Network Engineering

Background:

• Traditional wireless sensor network (WSN) barrier coverage algorithms often use centralized approaches and the Boolean Sensing Model (BSM).
• These methods neglect sensor characteristics and environmental factors, limiting practical application and performance in real-world scenarios.
• Centralized algorithms also struggle with scalability and flexibility in dynamic network topologies.

Purpose of the Study:

• To propose a distributed mechanism for WSNs that addresses the limitations of existing centralized algorithms.
• To enhance surveillance quality and minimize energy consumption by optimizing sensor activity.
• To provide a practical and scalable solution for barrier coverage in WSNs.

Main Methods:

• The study proposes the Joint Surveillance Quality and Energy Conservation (JSQE) mechanism, based on the Elfes Sensing Model (ESM).
• JSQE evaluates individual sensor sensing probabilities to identify areas with the weakest surveillance quality.
• It then schedules the most contributing sensor to the identified bottleneck locations to improve overall coverage.

Main Results:

• The proposed JSQE mechanism demonstrates superior performance compared to existing studies like TOBA.
• JSQE achieves a 15% improvement in surveillance quality.
• It also reduces the number of active sensors by 22%, indicating significant energy savings.

Conclusions:

• The distributed JSQE mechanism offers a practical and efficient solution for barrier coverage in WSNs.
• It effectively balances surveillance quality requirements with energy conservation goals.
• JSQE provides improved efficiency, fairness, and scalability over traditional methods.