Availability and End-to-end Reliability in Low Duty Cycle Multihop Wireless Sensor Networks

Area of Science:

• Computer Science
• Electrical Engineering
• Network Engineering

Background:

• Wireless sensor networks (WSNs) are decentralized, self-organizing systems crucial for various applications.
• Battery-powered nodes in WSNs necessitate energy efficiency and extended network lifetime as primary concerns.
• Traditional Quality of Service (QoS) metrics are often unsuitable for resource-constrained WSNs with dynamic routing and low duty cycles.

Purpose of the Study:

• To redefine and implement QoS metrics, specifically availability and reliability, for low duty cycle WSNs.
• To analyze the impact of duty cycling on achieving desired levels of availability and reliability.
• To develop a data forwarding algorithm that ensures end-to-end reliability in resource-constrained WSNs.

Main Methods:

• Simulations were conducted using ZigBee and proprietary TUTWSN protocols to evaluate new QoS metrics.
• The effect of duty cycling on network availability and reliability was analyzed.
• A novel data forwarding algorithm was designed and evaluated for its overhead and reliability guarantees.

Main Results:

• New definitions for availability and reliability were established for low duty cycle WSNs.
• Duty cycling was shown to impact network availability and reliability.
• The proposed data forwarding algorithm guarantees end-to-end reliability with minimal overhead relative to packet error rate (PER).

Conclusions:

• Availability and reliability are effective QoS metrics for low duty cycle WSNs.
• The developed data forwarding algorithm ensures high reliability (up to 30% PER) in resource-constrained WSNs.
• This research contributes to improving the performance and longevity of wireless sensor networks.