Priority Based Congestion Control Dynamic Clustering Protocol in Mobile Wireless Sensor Networks.

Area of Science:

• Wireless Sensor Networks (WSN)
• Network Protocols
• Disaster Monitoring Systems

Background:

• Natural disasters are increasing globally, causing significant loss of life and economic setbacks.
• Wireless Sensor Networks (WSN) are crucial for monitoring natural phenomena and preventing hazards.
• Energy conservation in WSN is critical, as communication consumes more power than sensing and computing.

Purpose of the Study:

• To develop a novel protocol for energy conservation and congestion control in WSNs during multiclass traffic.
• To address packet loss and delay issues in clustered WSNs.
• To enhance the efficiency and longevity of wireless sensor networks used for natural disaster monitoring.

Main Methods:

• Development of a Priority Based Congestion Control Dynamic Clustering (PCCDC) protocol.
• Dynamic organization of mobile nodes into clusters for complete coverage and connectivity.
• Intra- and inter-cluster congestion computation using linear and binary feedback methods.
• Implementation of a queue model for prioritized packet scheduling without drops or delays.

Main Results:

• PCCDC significantly reduces packet drop, control overhead, and end-to-end delay.
• The protocol substantially increases packet delivery ratio and network lifetime.
• Residual energy is notably higher in PCCDC compared to the PASCC protocol.

Conclusions:

• PCCDC effectively conserves energy and mitigates congestion in WSNs.
• The dynamic clustering and prioritized scheduling enhance overall network performance.
• PCCDC offers a superior solution for energy-efficient and reliable natural disaster monitoring using WSNs.