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Relevant bibliographies by topics / Energy Efficient Hierarchical Clustering (EEHC)

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Academic literature on the topic 'Energy Efficient Hierarchical Clustering (EEHC)'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "Energy Efficient Hierarchical Clustering (EEHC)"

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Roy, Sohini. "Energy Aware Cluster Based Routing Scheme For Wireless Sensor Network." Foundations of Computing and Decision Sciences 40, no. 3 (2015): 203–22. http://dx.doi.org/10.1515/fcds-2015-0013.

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Abstract Wireless Sensor Network (WSN) has emerged as an important supplement to the modern wireless communication systems due to its wide range of applications. The recent researches are facing the various challenges of the sensor network more gracefully. However, energy efficiency has still remained a matter of concern for the researches. Meeting the countless security needs, timely data delivery and taking a quick action, efficient route selection and multi-path routing etc. can only be achieved at the cost of energy. Hierarchical routing is more useful in this regard. The proposed algorith

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Kanika, Bindal, and Raina Shalley. "Energy Efficient Routing Protocol for Wireless Sensor Network - LEACH." Advances in Research 10, no. 3 (2017): 1–7. https://doi.org/10.9734/AIR/2017/34245.

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<strong>Aim:</strong> Wireless Sensor Network is spatially distributed autonomous sensor to monitor physical and environmental conditions. Energy is the scarcest resource of WSN nodes, and it determines the lifetime of WSNs. For this reason, algorithms and protocols need to address the issues such as increased lifespan, fault tolerance and energy efficiency. For energy efficiency we have various routing protocol. One of them is HEEMCP Protocol which has been discussed in the below paper along with other protocols. <strong>Study Design: </strong>MATLAB is being used for simulating the networks.

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Baskaran, Madhusudhanan, and Chitra Sadagopan. "Synchronous Firefly Algorithm for Cluster Head Selection in WSN." Scientific World Journal 2015 (2015): 1–7. http://dx.doi.org/10.1155/2015/780879.

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Wireless Sensor Network (WSN) consists of small low-cost, low-power multifunctional nodes interconnected to efficiently aggregate and transmit data to sink. Cluster-based approaches use some nodes as Cluster Heads (CHs) and organize WSNs efficiently for aggregation of data and energy saving. A CH conveys information gathered by cluster nodes and aggregates/compresses data before transmitting it to a sink. However, this additional responsibility of the node results in a higher energy drain leading to uneven network degradation. Low Energy Adaptive Clustering Hierarchy (LEACH) offsets this by pr

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Xin, Guan, Wu HuaYang, and Bi DeGang. "EEHCA: An Energy-Efficient Hierarchical Clustering Algorithm for Wireless Sensor Networks." Information Technology Journal 7, no. 2 (2008): 245–52. http://dx.doi.org/10.3923/itj.2008.245.252.

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Hamzah, Abdulmughni, Mohammad Shurman, Omar Al-Jarrah, and Eyad Taqieddin. "Energy-Efficient Fuzzy-Logic-Based Clustering Technique for Hierarchical Routing Protocols in Wireless Sensor Networks." Sensors 19, no. 3 (2019): 561. http://dx.doi.org/10.3390/s19030561.

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In wireless sensor networks, the energy source is limited to the capacity of the sensor node’s battery. Clustering in WSN can help with reducing energy consumption because transmission energy is related to the distance between sender and receiver. In this paper, we propose a fuzzy logic model for cluster head election. The proposed model uses five descriptors to determine the opportunity for each node to become a CH. These descriptors are: residual energy, location suitability, density, compacting, and distance from the base station. We use this fuzzy logic model in proposing the Fuzzy Logic-b

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Kumar, Dilip, Trilok C. Aseri, and R. B. Patel. "EECDA: Energy Efficient Clustering and Data Aggregation Protocol for Heterogeneous Wireless Sensor Networks." International Journal of Computers Communications & Control 6, no. 1 (2011): 113. http://dx.doi.org/10.15837/ijccc.2011.1.2206.

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In recent years, energy efficiency and data gathering is a major concern in many applications of Wireless Sensor Networks (WSNs). One of the important issues in WSNs is how to save the energy consumption for prolonging the network lifetime. For this purpose, many novel innovative techniques are required to improve the energy efficiency and lifetime of the network. In this paper, we propose a novel Energy Efficient Clustering and Data Aggregation (EECDA) protocol for the heterogeneous WSNs which combines the ideas of energy efficient cluster based routing and data aggregation to achieve a bette

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Perumal, V., and K. Meenakshi Sundaram. "An energy efficient based hybrid clustering (EEBHC) approaches in wireless sensor network." International Journal of Engineering & Technology 7, no. 2.31 (2018): 150. http://dx.doi.org/10.14419/ijet.v7i2.31.13429.

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Recently, much amount of research work has been carried out to improve the network lifespan in the Wireless Sensor Network (WSN) using Energy consumption process. In our proposed hierarchical based Hybrid clustering approaches has been designed, so as to limit the network traffic towards the Base Station. It reduced energy in the primary role of data transmission, reception, sensing and aggregation. To collect the data in the surrounding information based on hybrid clustering techniques. In this techniques are combination of equal and unequal Clustering. Even though equal and unequal clusterin

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G, Prakasha, Sunil Kumar K N, and A. S. R. Murthy. "Clustering Based Energy Efficient Routing for Wireless Sensor Network Using Particle Swarm Optimization." International Journal of Communication Networks and Information Security (IJCNIS) 15, no. 3 (2023): 243–60. http://dx.doi.org/10.17762/ijcnis.v15i3.6268.

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The clustering strategy is the most effective and efficient way to preserve energy in the Wireless Sensor Network (WSN). However, the cluster heads in the hierarchical clustering approach use the majority of the energy that is required to carry out the operations. These operations include receiving the data from the sensor nodes, aggregating it, and then eventually transmitting it to the base station. When choosing the appropriate cluster head, you can play a significant part in reducing the amount of energy that is consumed by the WSN and, as a result, extending its lifespan. A technique for

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Wang, Jun, Yadan Zhang, Chunyan Hu, Pengjun Mao, and Bo Liu. "IACRA: Lifetime Optimization by Invulnerability-Aware Clustering Routing Algorithm Using Game-Theoretic Approach for Wsns." Sensors 22, no. 20 (2022): 7936. http://dx.doi.org/10.3390/s22207936.

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Energy limitation is one of the intrinsic shortcomings of wireless sensor networks (WSNs), although it has been widely applied in disaster response, battlefield surveillance, wildfire monitoring, radioactivity detection, etc. Due to the large amount of energy consumed for data transmission, how to prolong the network lifespan by designing various hierarchical routing protocols has attracted more and more attention. As a result, numerous achievements have emerged successively. However, these presented mechanisms can rarely guarantee the satisfactory quality of service (QoS), while lowering the

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Kaddi, Mohammed, Mohammed Omari, Khouloud Salameh, and Ali Alnoman. "Energy-Efficient Clustering in Wireless Sensor Networks Using Grey Wolf Optimization and Enhanced CSMA/CA." Sensors 24, no. 16 (2024): 5234. http://dx.doi.org/10.3390/s24165234.

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Survivability is a critical concern in WSNs, heavily influenced by energy efficiency. Addressing severe energy constraints in WSNs requires solutions that meet application goals while prolonging network life. This paper presents an Energy Optimization Approach (EOAMRCL) for WSNs, integrating the Grey Wolf Optimization (GWO) for enhanced performance. EOAMRCL aims to enhance energy efficiency by selecting the optimal duty-cycle schedule, transmission power, and routing paths. The proposed approach employs a centralized strategy using a hierarchical network architecture. During the cluster format

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Dissertations / Theses on the topic "Energy Efficient Hierarchical Clustering (EEHC)"

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Kohlmeyer, Eckhard Bernhard. "A cross-layer approach for optimizing the efficiency of wireless sensor and actor networks." Diss., Pretoria : [s.n.], 2009. http://upetd.up.ac.za/thesis/available/etd-06252009-124552/.

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Ho, Yi-Chun, and 何逸群. "Design of Energy Efficient Hierarchical Clustering Routing Algorithm with Degree of Irregularity Model." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/wt6a34.

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碩士<br>國立臺北科技大學<br>電機工程系研究所<br>101<br>In the research of routing protocols for wireless sensor networks, the interference caused by the degree of irregularity is an important issue in the routing protocol study. Thus, this work proposes an energy efficient hierarchical clustering routing algorithm with degree of irregularity for wireless sensor networks (EHCA) to deal with this problem. This routing algorithm uses a fuzzy C-Means (FCM) algorithm successively twice to divide the network nodes into clusters to balance the energy consumption for each cluster. We select the node with the highest re

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Page, Jonathan Grant. "Energy efficient hybrid routing protocol for wireless sensor networks." Diss., 2008. http://hdl.handle.net/2263/27724.

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A wireless sensor network is designed to monitor events and report this information to a central location, or sink node. The information is required to efficiently travel through the network. It is the job of the routing protocol to officiate this process. With transmissions consuming the majority of the energy available to a sensor node, it becomes important to limit their usage while still maintaining reliable communication with the sink node. The aim of the research covered in this dissertation was to adapt the flat and hierarchical architectures to create a new hybrid that draws on current

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Leuschner, C. J. (Charl Jaco). "The design of a simple energy efficient routing protocol to improve wireless sensor network lifetime." Diss., 2005. http://hdl.handle.net/2263/24751.

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The number of potential applications for wireless sensor networks is immense. These networks may consist of large numbers of low cost, low power, disposable sensor nodes that can be deployed inside or close to phenomena to be monitored. The nature of these networks necessitates specific design requirements, of which energy efficiency is paramount. The limited available energy of sensor nodes is mainly drained during communication and computational processing. An energy efficient routing protocol can limit the number of message transmissions and the computational complexity of finding routing p

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Book chapters on the topic "Energy Efficient Hierarchical Clustering (EEHC)"

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Ding, Ping, JoAnne Holliday, and Aslihan Celik. "Distributed Energy-Efficient Hierarchical Clustering for Wireless Sensor Networks." In Distributed Computing in Sensor Systems. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11502593_25.

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Meenakshi, Diwakar, and Sushil Kumar. "Energy Efficient Hierarchical Clustering Routing Protocol for Wireless Sensor Networks." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27299-8_43.

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Patra, Chiranjib, Arindam Mondal, Parama Bhaumik, and Matangini Chattopadhyay. "An Energy Efficient Event Based Hierarchical Clustering Algorithm for Wireless Sensor Networks." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29219-4_44.

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Chouhan, Nitesh, and S. C. Jain. "An Energy-Efficient Hybrid Hierarchical Clustering Algorithm for Wireless Sensor Devices in IoT." In Communications in Computer and Information Science. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-81462-5_1.

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Haque, Enamul, and Norihiko Yoshida. "Clustering in Wireless Sensor Networks." In Internet and Distributed Computing Advancements. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-0161-1.ch008.

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Applications of Wireless Sensor Networks (WSN) have been expanded from industrial operation to daily common use. With the pace of development, a good number of state-of-the-art routing protocols have been proposed for WSN. Among many of these protocols, hierarchical or cluster-based protocol technique is adopted from the wired network because of its scalability, better manageability, and implicit energy efficiency. In this chapter, the authors have surveyed Low Energy Adaptive Clustering Hierarchy, Power-Efficient Gathering in Sensor Information Systems, Adaptive Periodic Threshold-Sensitive E

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Parvathi, C., and Suresha Talanki. "Energy Saving Hierarchical Routing Protocol in WSN." In Wireless Sensor Networks - Design, Deployment and Applications. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.93595.

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The area of Wireless Sensor Networks (WSN) bring a new era of connected on-demand embedding systems which are mostly resource constrained. Despite of having design and operational challenges in real-time, WSN is currently being deployed for wide range of applications where traditional networking systems are most of time unfeasible. The prime focus of the study is to realize the significance of energy efficient routing in WSN. The core motivation is derived by addressing energy problems of WSN. An extensive analysis drawn from reviewing literatures, clearly shows that very few studies incorpora

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Alphonse, P. J. A., C. Sivaraj, and T. N. Janakiraman. "An Energy-Efficient Layered Clustering Algorithm for Routing in Wireless Sensor Networks." In Sensor Technology. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2454-1.ch012.

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Efficient energy management is a key issue in battery equipped wireless sensor networks (WSNs). The cluster based routing in WSNs is a prominent approach for energy conservation of the network which provides a hierarchical data collection mechanism. In order to maximize the energy conservation of sensor nodes, this paper proposes an Energy-efficient Layered Clustering Algorithm (ELCA) for routing in wireless sensor networks. ELCA constructs two layers of clusters to reduce the transmission rate and to balance the energy consumption of sensors. As early energy depletion of clusterheads (CHs) is

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El Alami, Hassan, and Abdellah Najid. "EEA." In Sensor Technology. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2454-1.ch035.

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The data communication task, in wireless sensor networks (WSNs), is a major issue of high energy consumption. A hierarchical design based on a clustering algorithm is one of the approaches to manage the data communication and save energy in WSNs. However, most of the previous approaches based on clustering algorithms have not considered the length of the data communication path, which is a direct relation to energy consumption in WSNs. In this article, a novel scheme of a clustering algorithm has been proposed for reducing the data communication distance in WSNs. Hierarchical routing protocols

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Yazid, Yassine, Imad Ezzazi, Mounir Arioua, and Ahmed El Oualkadi. "Performance Analysis of Hierarchical Routing Protocols in Heterogenous WSNs." In Advances in Computer and Electrical Engineering. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-0117-7.ch008.

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Since the appearance of WSN, the energy efficiency has been widely considered as a critical issue due to the limited battery-powered nodes. In this regard, communication process is the most energy demanding in sensor nodes. Subsequently, using energy-aware routing protocols in order to decrease the communications costs as much as possible and increase the network lifetime is of paramount importance. In this chapter, we have mainly focused on the most recent-based clustered routing algorithms for heterogeneous WSNs, namely Selected Election Protocol (SEP), and Distributed Energy Efficient Clust

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Tripathi, Meenakshi, M. S. Gaur, Vijay Laxmi, and Ramesh Battula. "Secure and Energy-Efficient Routing for Cluster-Based Wireless Sensor Networks." In Security and Privacy in Smart Sensor Networks. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-5736-4.ch002.

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Security is a prime concern in the resource constrained wireless sensor networks. Traditional cryptographic mechanisms cannot be used with these networks due to their limited battery. Clustering is one of the popular methods to improve the energy efficiency of WSN. In this chapter, the authors propose a secure routing protocol for cluster-based wireless sensor networks. A hierarchical topology is formed by the base station, which is also responsible for distributing the cryptographic keys among the nodes. Security analysis of the proposed protocol is done against various security attacks. The

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Conference papers on the topic "Energy Efficient Hierarchical Clustering (EEHC)"

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Murthy, M. V. H. Bhaskara, G. S. S. S. S. V. Krishna Mohan, Mahammad Firose Shaik, G. Usandra Babu, Inakoti Ramesh Raja, and Shaik Tameem Ansari. "Maximizing WSN Lifetime Through Hierarchical Clustering for Efficient Energy Utilization and Prolonged Network Operation." In 2024 10th International Conference on Advanced Computing and Communication Systems (ICACCS). IEEE, 2024. http://dx.doi.org/10.1109/icaccs60874.2024.10717297.

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Manisekaran, S. V., and R. Venkatesan. "Energy Efficient Hierarchical clustering for sensor networks." In 2010 International Conference on Computing, Communication and Networking Technologies (ICCCNT'10). IEEE, 2010. http://dx.doi.org/10.1109/icccnt.2010.5592583.

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Swathi, N., S. Santosh Kumar, K. N. Sunil Kumar, Ravigatti, and P. Rajendra Prasad. "Zone based hierarchical energy efficient clustering scheme for WSN." In 2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT). IEEE, 2016. http://dx.doi.org/10.1109/rteict.2016.7807799.

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Pandey, Kaushlendra Kumar, Bhagyashree Saud, Babli Kumari, and Sonali Biswas. "An energy efficient hierarchical clustering technique for wireless sensor network." In 2016 Fourth International Conference on Parallel, Distributed and Grid Computing (PDGC). IEEE, 2016. http://dx.doi.org/10.1109/pdgc.2016.7913184.

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Xian, Tan. "A modified energy efficient backup hierarchical clustering algorithm for WSN." In 2012 International Conference on Information Security and Intelligence Control (ISIC). IEEE, 2012. http://dx.doi.org/10.1109/isic.2012.6449704.

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Moussaoui, O., A. Ksentini, M. Djoudi, and M. Naimi. "Efficient Energy Saving in Wireless Sensor Networks Through Hierarchical-based Clustering." In 2007 1st International Global Information Infrastructure Symposium, GIIS 2007. IEEE, 2007. http://dx.doi.org/10.1109/giis.2007.4404197.

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Zhou, Zude, and Qingsong Ai. "A new energy-efficient hierarchical clustering algorithm for wireless sensor networks." In Optics East 2005, edited by Mohammed Atiquzzaman and Sergey I. Balandin. SPIE, 2005. http://dx.doi.org/10.1117/12.633945.

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Mohan, Prakhar, Bogyeong Lee, Theodora Chaspari, and Changbum Ryan Ahn. "Capturing Regularity of ADL Routines Using Hierarchical Clustering Models." In BuildSys '19: The 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation. ACM, 2019. http://dx.doi.org/10.1145/3360322.3361007.

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Xiaoyan Cui and Zhao Liu. "BCEE: A balanced-clustering, energy-efficient hierarchical routing protocol in Wireless Sensor Networks." In 2009 IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC 2009). IEEE, 2009. http://dx.doi.org/10.1109/icnidc.2009.5360781.

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Lung, Chung-Horng, and Chenjuan Zhou. "Using Hierarchical Agglomerative Clustering in Wireless Sensor Networks: An Energy-Efficient and Flexible Approach." In IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference. IEEE, 2008. http://dx.doi.org/10.1109/glocom.2008.ecp.55.

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