An Accuracy-Aware Energy-Efficient Multipath Routing Algorithm for WSNs

Area of Science:

• Computer Science
• Electrical Engineering
• Network Engineering

Background:

• Wireless sensor networks (WSNs) face unreliable channels, impacting industrial production and safety monitoring.
• Ensuring both transmission reliability and data accuracy in WSNs is a significant challenge.
• Existing multipath routing schemes struggle to balance reliability and data accuracy.

Purpose of the Study:

• To propose an Energy-efficient Multipath Routing algorithm (EMRAR) for WSNs.
• To balance data accuracy and transmission reliability in WSNs.
• To optimize power consumption alongside reliability and accuracy.

Main Methods:

• Formulated the multipath routing problem as a multi-objective programming problem.
• Employed an adaptive artificial immune algorithm with improved initialization, incentive calculation, and immune operations.
• Specifically tailored the algorithm for multipath routing schemes.

Main Results:

• The proposed EMRAR algorithm effectively balances data accuracy and transmission reliability.
• EMRAR demonstrates superior performance compared to existing algorithms in simulations.
• The algorithm achieves significant energy savings.

Conclusions:

• EMRAR provides an effective solution for reliable and accurate data transmission in WSNs.
• The algorithm's multi-objective optimization approach addresses key WSN challenges.
• EMRAR offers a practical approach for energy-efficient WSNs in critical applications.