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)
Article
Computer Science, Information Systems
Ikram Daanoune, Baghdad Abdennaceur, Abdelhakim Ballouk
Summary: The paper introduces the popular hierarchical routing protocol LEACH in Wireless Sensor Networks (WSN), which reduces energy consumption by grouping sensor nodes into clusters and electing CHs. The study provides a detailed exploration of LEACH descendant clustering protocols, comparisons with other surveys, comparative analysis, and recommendations for future research in WSN.
Article
Computer Science, Information Systems
Kale Navnath Dattatraya, K. Raghava Rao
Summary: This paper discusses the importance of optimal cluster head selection in wireless sensor networks, proposes a new Fitness based Glowworm swarm with Fruitfly Algorithm (FGF), and compares it with other traditional methods, demonstrating the superiority of the algorithm.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2022)
Article
Computer Science, Information Systems
Sara Nasirian, Paola Pierleoni, Alberto Belli, Marco Mercuri, Lorenzo Palma
Summary: The widespread use of wireless sensor networks has led to the need for solutions to overcome their shortcomings, particularly the issue of energy shortage. Among various proposed schemes, cluster-based routing protocols have shown promising results but still require improvements in energy consumption reduction and network lifetime prolongation. This paper introduces a novel cluster-based hierarchical routing protocol called Pizzza, which forms minimum spanning trees within each sector-shaped cluster and allows only eligible nodes to act as cluster heads. The application of Pizzza has resulted in increased network lifetime and enhanced residual energy compared to other protocols.
Article
Computer Science, Information Systems
Monika Malik, Alok Joshi, Gayatri Sakya
Summary: Wireless Sensor Network (WSN) is a robust communication network but suffers from high energy consumption. To address this issue, a Buffalo-based Energy Optimized LEACH Protocol (BEOLP) is designed to identify and neglect high energy consumption nodes, improving communication performance. Additionally, a temporary route is implemented to avoid sudden signal failure and packet drop.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Yin-Di Yao, Xiong Li, Yan-Peng Cui, Jia-Jun Wang, Chen Wang
Summary: This paper proposes an energy-efficient routing protocol based on multi-threshold segmentation (EERPMS) for wireless sensor networks. The protocol improves the rationality of cluster formation and cluster heads selection, resulting in improved performance and energy savings.
IEEE SENSORS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Zhendong Wang, Liwei Shao, Shuxin Yang, Junling Wang
Summary: In this study, a low-energy first electoral multipath alternating multihop (LEMH) routing scheme is proposed to address the premature death of overloaded nodes in wireless sensor networks. By assigning adaptive contention radius to nodes, the scheme avoids node overload and enables nodes to combine remaining energy to vote for cluster heads. The final cluster head is determined based on two-dimensional competition parameters. The study also formulates an energy balance lifetime maximization routing problem and solves it using particle swarm optimization, providing an improved multihop transmission scheme for WSNs.
IEEE SENSORS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
C. Jothi Kumar, V. Deeban Chakravarthy, Kadiyala Ramana, Praveen Kumar Reddy Maddikunta, Qin Xin, G. Surya Narayana
Summary: This system achieves the clustering and data transmission of nodes in a sensor network through clustering and multi-hop routing methods. It proposes the Ordered Transmission Paradigm-Effective Routing (OTP-ER) protocol for selecting cluster head nodes and extends the network lifetime through optimized energy management.
OPTICAL AND QUANTUM ELECTRONICS
(2022)
Article
Energy & Fuels
Salil Bharany, Sandeep Sharma, Sumit Badotra, Osamah Ibrahim Khalaf, Youseef Alotaibi, Saleh Alghamdi, Fawaz Alassery
Summary: This study proposes an energy-efficient clustering algorithm for Flying Ad-hoc networks and improves the LEACH protocol to reduce energy consumption in data transmission, thereby extending network lifetime and maximizing node's residual energy. Experimental results on MATLAB show that the proposed algorithm outperforms existing LEACH and Centralized Low-Energy Adaptive Clustering Hierarchy Protocol in terms of energy efficiency and packet delivery ratio while also improving First Node Death compared to LEACH and LEACH-C protocols.
Article
Computer Science, Information Systems
Gaurav Kumar Nigam, Chetna Dabas
Summary: The LEACH algorithm has drawbacks such as depleting node energy and not taking into account residual energy. Researchers have proposed the enhanced ESO-LEACH algorithm to address these issues by utilizing meta-heuristic particle swarm enhancement for sensor node clustering and introducing advanced nodes and improved CH election rules to minimize algorithm randomness. Results show that ESO-LEACH outperforms traditional LEACH and extends the network's lifespan effectively.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2021)
Article
Computer Science, Information Systems
Sankar Sennan, Kirubasri, Youseef Alotaibi, Digvijay Pandey, Saleh Alghamdi
Summary: Internet of Things (IoT) is a new paradigm that aims to improve human lifestyle. It plays a crucial role in various fields such as agriculture, healthcare, and smart homes. However, IoT networks face challenges in network lifespan and energy usage. This paper proposes a novel energy-aware cluster-based routing protocol to address these challenges and extend network lifetime while improving throughput.
CMC-COMPUTERS MATERIALS & CONTINUA
(2022)
Article
Computer Science, Information Systems
Leonardo Mostarda, Alfredo Navarra, Renato De Leone
Summary: Wireless Sensor Networks (WSNs) play a crucial role in realizing the Internet of Things (IoT). WSNs consist of distributed devices that are battery powered, have limited resources, and limited transmission range. Collecting data in an energy efficient manner is a major goal for building WSNs, and clustering protocols are commonly used to achieve this goal. In this work, an Optimum Rotation Scheduling (ORS) method is proposed, which uses Integer Linear Programming to find the optimum cluster head rotation strategy for prolonging the network lifetime. Extensive simulations are conducted to compare ORS with existing heuristics and evaluate its performance in both homogeneous and heterogeneous WSNs.
INTERNET OF THINGS
(2023)
Article
Computer Science, Hardware & Architecture
Ke Zhang, Guang Zhang, Xiuwu Yu, Shaohua Hu, Moxiao Li
Summary: This paper proposes a cluster routing protocol based on energy-aware affinity propagation (CAP), which improves the energy efficiency and prolongs the network lifetime of wireless sensor networks (WSNs). The CAP protocol enhances network performance through an energy-aware affinity propagation clustering algorithm, inter-cluster relay selection method, and energy threshold re-cluster scheme.
Article
Computer Science, Theory & Methods
Kim Khanh Le-Ngoc, Quan Thanh Tho, Thang Hoai Bui, Amir Masoud Rahmani, Mehdi Hosseinzadeh
Summary: Wireless sensor networks are important for monitoring events in specific environments. Clustering can improve data transmission efficiency and reduce energy consumption. This paper proposes an efficient distributed multi-level clustering scheme using a fuzzy logic controller, and improves its effectiveness through optimization. Experimental results show that this approach outperforms other methods.
FUZZY SETS AND SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Yadong Gong, Guoming Lai
Summary: In this paper, a centralized clustering protocol called Low-Energy Dynamic Clustering (LEDC) is proposed to enhance the energy efficiency in query-based wireless sensor networks (WSNs). LEDC utilizes prediction-based scheme and centralized optimal dynamic cluster formation algorithms to match the distribution of clusters with that of query targets, and suggests an energy-aware forwarding strategy and a parallel processing algorithm to improve energy efficiency and network throughput.
IEEE SENSORS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
P. Thirumurugan, D. Ramkumar, K. Batri, D. Sundhara Raja
INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY
(2016)
Article
Engineering, Electrical & Electronic
P. Thirumurugan, P. Shanthakumar
INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY
(2016)
Article
Engineering, Electrical & Electronic
V. Magudeeswaran, C. G. Ravichandran, P. Thirumurugan
INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY
(2017)
Article
Engineering, Electrical & Electronic
J. Jasmine Hephzipah, P. Thirumurugan
Summary: The meningioma tumors were classified and segmented using soft computing methods, and achieved good detection results.
IETE JOURNAL OF RESEARCH
(2022)
Article
Engineering, Electrical & Electronic
N. Lavanya Devi, P. Thirumurugan
Summary: The paper presents a novel approach for automatic detection of cervical cancer using modified fuzzy C-means and PCA, achieving impressive results in terms of accuracy and sensitivity in threefold cross-validation.
IETE JOURNAL OF RESEARCH
(2022)
Article
Computer Science, Artificial Intelligence
V Nivedhitha, P. Thirumurugan, A. Gopi Saminathan, V Eswaramoorthy
Summary: The study proposes a fuzzy-based Improved Harris's Hawk Optimization Algorithm (IHHO) for selecting a cluster head for data communication. By considering factors such as balance energy, distance, and vicinity, the method determines the eligibility of candidate nodes to become cluster heads, resulting in an energy-efficient network with lower complexity.
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
(2021)
Article
Automation & Control Systems
V. Nivedhitha, A. Gopi Saminathan, P. Thirumurugan
Summary: The proposed method utilizes the fruit fly optimization algorithm (FFOA) combined with LEACH and differential evolution (DE) to select optimal cluster heads for energy-efficient data transmission. The algorithm considers node compactness, energy capacity, distance to base station, geocentric location, and other factors to provide an optimal solution for overlapping cluster heads and uneven clustering. Simulation results show that FFOA-based LEACH improves network lifetime through energy-efficient clustering and routing compared to LEACH and DE-LEACH.
INTELLIGENT AUTOMATION AND SOFT COMPUTING
(2021)
Article
Computer Science, Hardware & Architecture
V. Nivedhitha, A. Gopi Saminathan, P. Thirumurugan
MICROPROCESSORS AND MICROSYSTEMS
(2020)
Proceedings Paper
Engineering, Electrical & Electronic
S. Surendhar, P. Thirumurugan, S. Sasikumar
2014 INTERNATIONAL CONFERENCE ON COMMUNICATIONS AND SIGNAL PROCESSING (ICCSP)
(2014)
Proceedings Paper
Engineering, Electrical & Electronic
P. Thirumurugan, R. Preethi, B. Sangeetha
2013 INTERNATIONAL CONFERENCE ON COMMUNICATIONS AND SIGNAL PROCESSING (ICCSP)
(2013)
Proceedings Paper
Engineering, Electrical & Electronic
P. Thirumurugan, S. Sasikuma, V. Jeevanantham
2013 INTERNATIONAL CONFERENCE ON COMMUNICATIONS AND SIGNAL PROCESSING (ICCSP)
(2013)
