Modular Energy-Efficient and Robust Paradigms for a Disaster-Recovery Process over Wireless Sensor Networks

Area of Science:

• Computer Science
• Network Engineering
• Wireless Communication

Background:

• Emerging wireless sensor network (WSN) applications require robust and efficient paradigms.
• Current paradigms often lead to reduced quality of service (QoS) and increased energy consumption.
• There is a need for improved protocols that enhance both QoS and energy efficiency in WSNs.

Purpose of the Study:

• To introduce modular, energy-efficient, and robust paradigms for WSNs.
• To enhance network performance by optimizing medium access control and routing.
• To improve QoS and extend network lifetime in WSN applications.

Main Methods:

• Development of the operational medium access control (O-MAC) hybrid protocol.
• Introduction of the pheromone termite (PT) model for robust routing.
• Simulation of a disaster recovery scenario using network simulator ns-3.10 to evaluate the proposed paradigms.

Main Results:

• The O-MAC protocol effectively controls overhearing and congestion, increasing throughput and network lifetime.
• The PT model provides robust routing with features for congestion avoidance and link capacity determination.
• Simulations demonstrated that the O-MAC with PT model yields superior QoS metrics compared to other hybrid protocols.

Conclusions:

• The proposed O-MAC and PT paradigms offer a significant improvement in WSN performance.
• These paradigms enhance both QoS and energy efficiency, crucial for WSN applications.
• The developed paradigms are suitable for general-purpose applications and disaster recovery scenarios.