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SD-MAC protocol for wireless sensor network energy consumption
Sarah M Alhammad1, Safia Abbas2, Ahmed M Elshewey3,4
1Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, 84428, Riyadh, 11671, Saudi Arabia.
A new Sleep Duty-cycle MAC (SD-MAC) protocol enhances energy efficiency in Wireless Sensor Networks (WSNs) by dynamically adjusting active listening periods. This approach significantly improves energy savings and throughput compared to traditional protocols.
Area of Science:
- Computer Science
- Network Engineering
- Wireless Communication
Background:
- Energy efficiency is a major challenge in Wireless Sensor Networks (WSNs), particularly with fluctuating network traffic.
- Existing protocols like S-MAC and T-MAC have limitations due to fixed sleep cycles and early sleep issues, hindering adaptability.
Purpose of the Study:
- Introduce a novel Sleep Duty-cycle MAC (SD-MAC) protocol for WSNs.
- Dynamically adjust active listening periods based on real-time network traffic to reduce idle listening and enhance energy utilization.
- Improve overall network performance, including energy savings, throughput, and reliability.
Main Methods:
- Developed the SD-MAC protocol featuring a traffic-aware scheduling mechanism with tunable duty cycles.
- Conducted extensive simulations using the NS-2 network simulator.
- Evaluated performance metrics including energy consumption, medium access delay, and packet delivery rate under diverse traffic scenarios.
Main Results:
- SD-MAC achieved up to 10% greater energy savings compared to T-MAC.
- Demonstrated higher throughput than T-MAC.
- Outperformed several recent MAC protocols in energy consumption, medium access delay, and packet delivery rate.
Conclusions:
- SD-MAC effectively enhances energy efficiency and scalability in Wireless Sensor Networks.
- The protocol's dynamic duty cycle adjustment proves beneficial, especially in low to medium-traffic environments.
- SD-MAC offers a reliable solution for energy-constrained WSN applications.
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