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EDCC-RPL: A novel energy-efficient and load-balanced objective function for RPL Routing in IoT networks enhancing network lifetime and reliability
by
S. Ahmed, Alaa E.
, Ahmad, Mudassar
, Qayum, Muhammad Abdul
, Ur Rahman, Habib
, Raza, Naeem
, Albarrak, Abdullah M.
, Habib, Muhammad Asif
, Sajid Imran, Hafiz Muhammad
in
Algorithms
/ Biology and Life Sciences
/ Computer Communication Networks
/ Earth Sciences
/ Ecology and Environmental Sciences
/ Energy consumption
/ Energy efficiency
/ Energy management systems
/ Energy use
/ Engineering and Technology
/ Humans
/ Industry 4.0
/ Internet of Things
/ Load balancing
/ Load distribution
/ Models, Theoretical
/ Network reliability
/ Objective function
/ Physical Sciences
/ Reproducibility of Results
/ Research and Analysis Methods
/ Routing (telecommunications)
/ Sensors
/ Smart cities
/ Social Sciences
/ Topology
2026
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EDCC-RPL: A novel energy-efficient and load-balanced objective function for RPL Routing in IoT networks enhancing network lifetime and reliability
by
S. Ahmed, Alaa E.
, Ahmad, Mudassar
, Qayum, Muhammad Abdul
, Ur Rahman, Habib
, Raza, Naeem
, Albarrak, Abdullah M.
, Habib, Muhammad Asif
, Sajid Imran, Hafiz Muhammad
in
Algorithms
/ Biology and Life Sciences
/ Computer Communication Networks
/ Earth Sciences
/ Ecology and Environmental Sciences
/ Energy consumption
/ Energy efficiency
/ Energy management systems
/ Energy use
/ Engineering and Technology
/ Humans
/ Industry 4.0
/ Internet of Things
/ Load balancing
/ Load distribution
/ Models, Theoretical
/ Network reliability
/ Objective function
/ Physical Sciences
/ Reproducibility of Results
/ Research and Analysis Methods
/ Routing (telecommunications)
/ Sensors
/ Smart cities
/ Social Sciences
/ Topology
2026
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EDCC-RPL: A novel energy-efficient and load-balanced objective function for RPL Routing in IoT networks enhancing network lifetime and reliability
by
S. Ahmed, Alaa E.
, Ahmad, Mudassar
, Qayum, Muhammad Abdul
, Ur Rahman, Habib
, Raza, Naeem
, Albarrak, Abdullah M.
, Habib, Muhammad Asif
, Sajid Imran, Hafiz Muhammad
in
Algorithms
/ Biology and Life Sciences
/ Computer Communication Networks
/ Earth Sciences
/ Ecology and Environmental Sciences
/ Energy consumption
/ Energy efficiency
/ Energy management systems
/ Energy use
/ Engineering and Technology
/ Humans
/ Industry 4.0
/ Internet of Things
/ Load balancing
/ Load distribution
/ Models, Theoretical
/ Network reliability
/ Objective function
/ Physical Sciences
/ Reproducibility of Results
/ Research and Analysis Methods
/ Routing (telecommunications)
/ Sensors
/ Smart cities
/ Social Sciences
/ Topology
2026
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EDCC-RPL: A novel energy-efficient and load-balanced objective function for RPL Routing in IoT networks enhancing network lifetime and reliability
Journal Article
EDCC-RPL: A novel energy-efficient and load-balanced objective function for RPL Routing in IoT networks enhancing network lifetime and reliability
2026
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Overview
Energy efficiency and balanced load distribution remain persistent challenges in the Routing Protocol for Low-Power and Lossy Networks (RPL), significantly affecting the lifetime and reliability of Internet of Things (IoT) deployments. This study introduces EDCC-RPL, a novel multi-metric objective function that integrates Expected Transmission Count (ETX), end-to-end delay, and child count through an adaptive additive model. Unlike conventional single or dual metric schemes such as OF0, MRHOF, and EA-EPL, EDCC-RPL simultaneously enhances energy efficiency, network stability, and scalability. Extensive simulations in Contiki Cooja with 20–50 nodes demonstrate up to 32% lower energy consumption, 18% higher Packet Delivery Ratio (PDR), and 50–60% reduction in parent switching (churn) in dense topologies. These improvements validate EDCC-RPL’s novelty in achieving joint optimization of reliability, delay, and load balancing. The proposed approach provides a practical and scalable solution for sustainable IoT networks in smart cities, industrial monitoring, and environmental sensing applications. The implementation code of the proposed EDCC-RPL algorithm is publicly available at https://github.com/drmasifhabib/edcc-rpl-github for reproducibility and reuse.
Publisher
Public Library of Science,PLOS,Public Library of Science (PLoS)
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