Proceedings ArticleDOI
Comparative Study of Optimal Clustering Techniques in Wireless Sensor Network: A Survey
Jaheda S. Ambekari,Sumedha Sirsikar +1 more
- pp 38-44
TLDR
Clustering technique balances the load distribution in network and reduces traffic transmission and gives greater improvement in system scalability, increases energy efficiency, and enhances network lifetime, in the network.Abstract:
Energy consumption affects Wireless Sensor Networks (WSN) lifetime and may cause network degradation. Communication distance between the sensor nodes and base station affects network energy. The more communication distance between two nodes the more energy consumed. Clustering technique is used to reduce the energy consumption in the wireless data transmission. To develop an energy-efficient system using clustering, there are three requirements. First, to determine the optimum number of sensor nodes in a specific cluster, Second, to find the optimal number of clusters in the network and the third is to determine the correct position of Cluster Head (CH) in a particular cluster. Selecting an optimal number of clusters in WSNs gives greater improvement in system scalability, increases energy efficiency, and enhances network lifetime, in the network. For a large WSN lifetime of network depends on the cluster diameter and number of hops. The energy cost of network is directly proportional to the number of clusters. Clustering technique balances the load distribution in network and reduces traffic transmission.read more
Citations
More filters
Proceedings ArticleDOI
Combining compression and clustering techniques to handle big data collected in sensor networks
Hassan Harb,Chady Abou Jaoude +1 more
TL;DR: Simulation on real data sensors shows the effectiveness of the proposed two-level data reduction approach in reducing the big data collected in WSNs and enhancing network lifetime, compared to other existing techniques.
Proceedings ArticleDOI
An intelligent self-learning drone assistance approach towards V2V communication in smart city
TL;DR: In this article, an intelligent self-learning approach-based hybrid clustering by integrating Adaptive Network-based Fuzzy Inference System (ANFIS) and dynamic Dijkstra routing for packet transfer between vehicles is proposed.
References
More filters
Journal ArticleDOI
An application-specific protocol architecture for wireless microsensor networks
TL;DR: This work develops and analyzes low-energy adaptive clustering hierarchy (LEACH), a protocol architecture for microsensor networks that combines the ideas of energy-efficient cluster-based routing and media access together with application-specific data aggregation to achieve good performance in terms of system lifetime, latency, and application-perceived quality.
Journal ArticleDOI
A survey on clustering algorithms for wireless sensor networks
TL;DR: A taxonomy and general classification of published clustering schemes for WSNs is presented, highlighting their objectives, features, complexity, etc and comparing of these clustering algorithms based on metrics such as convergence rate, cluster stability, cluster overlapping, location-awareness and support for node mobility.
Journal ArticleDOI
A survey of clustering schemes for mobile ad hoc networks
J.Y. Yu,Peter Han Joo Chong +1 more
TL;DR: This article presents a comprehensive survey of recently proposed clustering algorithms, which are classified based on their objectives and descriptions of the mechanisms, evaluations of their performance and cost, and discussions of advantages and disadvantages of each clustering scheme.
Journal ArticleDOI
A Survey on Clustering Routing Protocols in Wireless Sensor Networks
TL;DR: A comprehensive and fine grained survey on clustering routing protocols proposed in the literature for WSNs, and a novel taxonomy of WSN clustering routed methods based on complete and detailed clustering attributes are presented.
Energy Efficient Clustering Algorithms in Wireless Sensor Networks: A Survey
TL;DR: This paper presents a taxonomy of energy efficient clustering algorithms in WSNs, and presents timeline and description of LEACH and Its descendant in W SNs.