A Multi-weight Based Clustering Algorithm for Wireless Sensor Networks

Huang, Heqing; Yao, Daoyuan; Shen, Jie; Ma, Ke; Liu, Haitao

doi:10.3724/sp.j.1146.2006.01792

Cited by 11 publications

(8 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…DWCA provides better performances than WCA in terms of the number of re-affiliations, end-to-end throughput, overheads during the initial clustering set up phase, and the minimum lifespan of nodes. Multi-weight based clustering (MWBC) [50] is a multiweight based clustering protocol for maximal-lifetime wireless sensor network design, in which a weighted sum method is adopted in the CH selection to achieve the tradeoff by considering several factors such as the ideal degree, the current energy, the transmission power, the link quality, and relatively position of nodes with respect to relevant weights.…”

Section: Trade-off In Cluster Head Electionmentioning

confidence: 99%

An overview of performance trade-off mechanisms in routing protocol for green wireless sensor networks

et al. 2015

View full text Add to dashboard Cite

Along with the development of the technologies of various kinds, wireless sensor networks are gradually entering into the practicalization phase. Therefore, whether its performance is good or not will directly affect the use of WSNs. Routing is one of the most important technologies. In addition, the routing performance is a significant part of the evaluation index system of wireless sensor networks. Energy efficiency is focused on in the traditional routing protocols, while quality of service (QoS) (i.e., delay, reliability, robustness) becomes important in practical application. Routing protocols should not only ensure the energy efficiency, but also realize QoS performances. As a consequence how to achieve the equilibrium between energy efficiency and other performances is the issue to be solved. In this paper, some performance trade-off mechanisms and methods that have existed in the routing protocols of wireless sensor networks are analyzed and summarized. At the same time, the related technical features of the routing protocols are mentioned, the purpose of which is to provide a better understanding of the current research issues within the field of performance trade-off mechanisms and to guide the researcher to develop the routing protocols with better performance in order to fulfill the actual requirements.

show abstract

Section: Trade-off In Cluster Head Electionmentioning

confidence: 99%

An overview of performance trade-off mechanisms in routing protocol for green wireless sensor networks

et al. 2015

View full text Add to dashboard Cite

show abstract

“…MWBC [17] is a multi-weight based clustering algorithm for maximal-lifetime wireless sensor network design, which takes into consideration many factors such as the ideal degree, current energy, transmission power, link quality, and relatively position of nodes. First of all, nodes obtain the parameters that can describe the situation of the local network through exchanging information each other.…”

Section: Related Workmentioning

confidence: 99%

Energy-Efficient Cluster Head Selection Scheme Based on Multiple Criteria Decision Making for Wireless Sensor Networks

Gao

Jin

Song

et al. 2010

Wireless Pers Commun

View full text Add to dashboard Cite

Energy efficiency is an essential issue in the applications of wireless sensor networks (WSNs) all along. Clustering with data aggregation is a significant direction to improve energy efficiency through software. The selection of cluster head (CH) is the key issue in the clustering algorithm, which is also a multiple criteria decision making (MCDM) procedure. In this paper, a novel fuzzy multiple criteria decision making approach, which is based on trapezoidal fuzzy AHP and hierarchical fuzzy integral (FAHP), is introduced to optimize the selection of cluster heads to develop a distributed energy-efficient clustering algorithm. Energy status, QoS impact and location are taken into account simultaneously as the main factors that can influence the selection of cluster heads while each factor contains some sub-criteria. Fuzzy multiple attribute decision making is adopted to select optimal cluster heads by taking all factors into account synthetically. According to these criteria, each node computes a composite value by using fuzzy Integral. Then this composite value is mapped onto the time axis, and a time-trigger mechanism makes the node broadcast cluster head information. The rule that "first declaration wins" is adopted to form the cluster. Simulation results denote that our proposed scheme has longer lifetime and more eximious expansibility than other algorithms.

show abstract

“…Energy and local distance are used in cluster head election mechanism using fuzzy logic (CHEF) [ 42 ] to compute the probability of being selected as CHs. The clustering algorithms proposed in [ 43 , 44 ] are similar to CHEF. The distance of the cluster centroid, the residual energy of nodes and network flow are selected to compute the selection probability of the CH.…”

Section: Related Workmentioning

confidence: 99%

A Local Energy Consumption Prediction-Based Clustering Protocol for Wireless Sensor Networks

Jia

et al. 2014

Sensors

View full text Add to dashboard Cite

Clustering is a fundamental and effective technique for utilizing sensor nodes' energy and extending the network lifetime for wireless sensor networks. In this paper, we propose a novel clustering protocol, LECP-CP (local energy consumption prediction-based clustering protocol), the core of which includes a novel cluster head election algorithm and an inter-cluster communication routing tree construction algorithm, both based on the predicted local energy consumption ratio of nodes. We also provide a more accurate and realistic cluster radius to minimize the energy consumption of the entire network. The global energy consumption can be optimized by the optimization of the local energy consumption, and the energy consumption among nodes can be balanced well. Simulation results validate our theoretical analysis and show that LECP-CP has high efficiency of energy utilization, good scalability and significant improvement in the network lifetime.

show abstract

A Multi-weight Based Clustering Algorithm for Wireless Sensor Networks

Cited by 11 publications

References 1 publication

An overview of performance trade-off mechanisms in routing protocol for green wireless sensor networks

An overview of performance trade-off mechanisms in routing protocol for green wireless sensor networks

Energy-Efficient Cluster Head Selection Scheme Based on Multiple Criteria Decision Making for Wireless Sensor Networks

A Local Energy Consumption Prediction-Based Clustering Protocol for Wireless Sensor Networks

Contact Info

Product

Resources

About