Article
Computer Science, Information Systems
Prachi Maheshwari, Ajay K. Sharma, Karan Verma
Summary: The objective of the study is to maximize the network lifetime by minimizing overall energy consumption using Butterfly Optimization Algorithm and Ant Colony Optimization. The proposed methodology outperforms traditional methods in terms of the number of alive nodes and energy consumption.
Article
Engineering, Electrical & Electronic
Yindi Yao, Dangyuan Xie, Ying Li, Chen Wang, Yangli Li
Summary: A wireless sensor network routing protocol based on improved archimedes optimization algorithm (IAOAR) is proposed in this paper to reduce energy consumption and improve node survival. This protocol selects appropriate initial clusters and adjusts cluster head positions using virtual force, as well as constructs the shortest transmission path using an improved ant colony algorithm, thus prolonging the network's lifetime.
IEEE SENSORS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Swapna B. Sasi, R. Santhosh
Summary: The paper proposes a routing method addressing security issues, reducing energy consumption, latency, and PDR losses, and maximizing network lifetime in sensor networks. This multiobjective routing problem is solved using ant colony routing techniques, considering node energy, distance, and trust credentials to enhance network lifetime. Performance evaluation using network simulator-2 demonstrates the efficiency and quality of service of the proposed routing technique compared to existing techniques in terms of energy utilization, PDR, network lifetime, and security enhancement rate.
INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
Jing Xiao, Chaoqun Li, Jie Zhou
Summary: This study introduces an improved Adaptive Elite Ant Colony Optimization (AEACO) algorithm to reduce energy consumption in High-Density Wireless Sensor Networks (HDWSNs). Simulation results demonstrate that AEACO has faster convergence speed and reduces energy consumption by 30.7% compared to Genetic Algorithm and 22.5% compared to Particle Swarm Optimization.
JOURNAL OF SENSORS
(2021)
Article
Engineering, Electrical & Electronic
Yin-Di Yao, Xiong Li, Yan-Peng Cui, Lang Deng, Chen Wang
Summary: Wireless sensor networks are self-organizing monitoring networks consisting of randomly deployed micro sensor nodes to collect physical information for tasks such as intelligent perception and efficient control. However, the energy limitations of the nodes greatly affect network performance. In this study, a multi-hop routing protocol based on game theory and coverage optimization is proposed to prolong network lifetime.
IEEE SENSORS JOURNAL
(2022)
Article
Business
Manisha Rathee, Sushil Kumar, Amir H. Gandomi, Kumar Dilip, Balamurugan Balusamy, Rizwan Patan
Summary: This article proposed an ant colony optimization-based QoS-aware energy balancing secure routing algorithm for WSNs, which uses improved heuristics to calculate transmission delay and node trust factor. Compared to two existing algorithms, the proposed QEBSR algorithm performed better.
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
(2021)
Article
Computer Science, Information Systems
Fawad Saleem, Muhammad Nadeem Majeed, Jawaid Iqbal, Abdul Waheed, Abdul Rauf, Mahdi Zareei, Ehab Mahmoud Mohamed
Summary: The study explores the selection of optimal clusters to achieve an energy-efficient routing protocol for livestock health and behavior monitoring in WBANs, aiming to address issues related to energy consumption and monitoring costs.
Article
Computer Science, Artificial Intelligence
Tingyang Wei, Jinghui Zhong, Jun Zhang
Summary: This paper introduces a partition-based target tracking framework with a modified continuous ant colony optimization approach, aiming to achieve flexible and energy-efficient tracking. The framework divides the sensing area into subregions and limits the movement of mobile sensors within corresponding subregions to balance energy consumption.
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE
(2021)
Article
Computer Science, Artificial Intelligence
J. Amutha, Sandeep Sharma, Sanjay Kumar Sharma
Summary: This study focuses on energy efficiency in wireless sensor networks, proposing a method using a hybrid butterfly and ant colony optimization algorithm to minimize energy consumption and extend network lifetime by optimizing the selection of cluster heads and energy-efficient routing.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Computer Science, Information Systems
D. Laxma Reddy, C. Puttamadappa, H. N. Suresh
Summary: The paper discusses the importance of optimizing cluster head selection in energy-efficient routing protocols in wireless sensor networks, and proposes a new hybrid algorithm, ACI-GSO, to improve network performance and energy efficiency.
PERVASIVE AND MOBILE COMPUTING
(2021)
Article
Computer Science, Information Systems
Shi Dong, Mudar Sarem, Wengang Zhou
Summary: The energy consumption in wireless sensor networks is limited, with the sink node consuming the most energy. The network lifetime is short, so improving the effective node energy and prolonging the network lifetime have become important issues. This article aims to construct an optimal spanning tree to maximize lifetime, with a new accurately distributed data gathering algorithm-based tree that can extend the lifetime of WSNs compared to existing algorithms.
IEEE SYSTEMS JOURNAL
(2021)
Article
Automation & Control Systems
Harish Gunigari, S. Chitra
Summary: Real-time applications based on Wireless Sensor Network (WSN) technologies have a significant impact on the growth of intelligent environments and can utilize data collection and analysis through the Internet of Things (IoT) network. This proposed system utilizes the Artificial Immune System-Particle Swarm Optimization method for energy minimization and introduces a new Energy Efficient and Reliable Ant Colony Optimization (ACO) based Routing Protocol (E-RARP) and a game theory-based energy-efficient clustering algorithm (GEC) to improve network efficiency and lifetime.
INTELLIGENT AUTOMATION AND SOFT COMPUTING
(2023)
Article
Computer Science, Information Systems
Niayesh Gharaei, Yasser D. Al-Otaibi, Suhail Ashfaq Butt, Sharaf Jameel Malebary, Sabit Rahim, Gul Sahar
Summary: By optimizing the moving trajectory and charging time of the wireless mobile charger, the proposed schemes remarkably enhance the network performance in terms of different evaluation metrics, improving energy efficiency and network lifetime.
IEEE SYSTEMS JOURNAL
(2021)
Article
Computer Science, Information Systems
Akhilesh Panchal, Rajat Kumar Singh
Summary: The new Energy Efficient Hybrid Clustering and Hierarchical Routing (EEHCHR) algorithm in Wireless Sensor Network (WSN) achieves the goals of energy savings, extended network lifetime, and improved coverage. By introducing a new adaptive and hybrid clustering scheme and hierarchical packet routing strategy, it effectively reduces network energy consumption.
Article
Computer Science, Information Systems
Ning Ma, Hang Zhang, Hang Hu, Yuan Qin
Summary: This article proposes an energy-saving clustering protocol based on adaptive Voronoi dividing, named energy-saving clustering by Voronoi adaptive dividing (ESCVAD) protocol, which effectively balances energy consumption between nodes, extends network lifetime, and improves energy efficiency.
IEEE INTERNET OF THINGS JOURNAL
(2022)
