Near-Optimal Node Clustering in Wireless Sensor Networks for Environment Monitoring

Xia, D.; Vlajic, Natalija

doi:10.1109/ccece.2006.277300

Cited by 25 publications

(34 citation statements)

References 5 publications

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“…However, they did not provide any justification for choosing multihop mode for communication between the sensor nodes and the CHs. It was one of the rare efforts to match the size and shape of clusters to the gathered sensor data: nodes form clusters only if their data were similar and can be aggregated with little or no data loss [14]. In terms of the cluster form, the algorithm adopted a traditional -hop clustering with random cluster sizes due to the requirement of data similarity.…”

Section: Related Workmentioning

confidence: 99%

Cooperative Sensor Selection Optimization and Power-Efficient Gathering for Multihop Wireless Sensor Networks

Shen

2015

International Journal of Distributed Sensor Networks

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Since a single sensor may be in a fading dip, cooperative sensing among multiple sensors which experience uncorrelated fading is required to guarantee reliable sensing performance. This paper proposes a cooperative sensor selection and power-efficient gathering (CSSPEG) strategy in multihop wireless sensor networks to avoid the "hot spot" problem. Intracluster communication radiuses have different sizes, in which the clusters closer to the base station have smaller size. Furthermore, intracluster member allocation scheme uses cooperative sensor selection and power-efficient gathering strategy. Simulation results show that the proposed CSSPEG can efficiently balance the energy consumption of cluster heads and prolong the lifetime of the network.

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Section: Related Workmentioning

confidence: 99%

Cooperative Sensor Selection Optimization and Power-Efficient Gathering for Multihop Wireless Sensor Networks

Shen

2015

International Journal of Distributed Sensor Networks

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“…Some routing protocols organize wireless nodes into clusters, such as Leach (Heinzelman et al, 2000). In (Xia & Vlajic, 2007) the conditions under which such protocols are energy efficient are established and the optimal radius of a cluster is determined. Existing energy efficient routing protocols can be first distinguished by the number of paths maintained to a destination: a single path or multiple paths.…”

Section: Energy Saving Techniques At Routing Layermentioning

confidence: 99%

Energy Issues and Energy Aware Routing in Wireless Ad Hoc Networks

Fotino¹,

Rango²

2011

Mobile Ad-Hoc Networks: Protocol Design

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“…Xia et al in [41], proposed Local Negotiated Clustering Algorithm (LNCA) that tries to minimize the overall energy cost of the network by using the similarity of nodes. Experimental results of the algorithm indicate that 2-hop LNCA outperforms existing LEACH [31] algorithms in terms of energy consumption.…”

Section: Homogeneous Sensor Networkmentioning

confidence: 99%

A Review Study on Analytical Estimation of Optimal Number of Clusters in Wireless Sensor Networks

Kumar

Dhok

Tripathi

et al. 2014

TNC

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To improve energy efficiency, total network scalability and data aggregation in Wireless Sensor Networks (WSNs), sensor nodes are often grouped into disjoint and mostly non-overlapping subsets called clusters. To provide an energy-efficient system by clustering, there are three main challenges. First is to find the optimum number of nodes in a specific cluster, second is to find the optimum number of clusters in the network and the third is to find the optimum position of Cluster Head (CH) in a specific cluster. Selecting an optimum number of clusters in WSNs provide greater improvement in terms of system scalability, energy efficiency, collision reduction, network lifetime, latency, and efficient routing backbone in the network. Selection of optimal number of clusters in WSNs is affected by level at which WSNs is modeled viz. Radio Energy Model Level, Network Model Level and Clustering Level. The objective of this paper is to present a state-of-the-art survey of distinct analytical methods used to calculate the optimum number of clusters, and its time-line comparative analysis based on network type, mathematical formula for an optimal number of clusters, base station positioning, energy model, strengths, weaknesses and applications of WSNs. We have also discussed the impact of different parameters on selecting the optimal number of clusters in WSNs.

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Near-Optimal Node Clustering in Wireless Sensor Networks for Environment Monitoring

Cited by 25 publications

References 5 publications

Cooperative Sensor Selection Optimization and Power-Efficient Gathering for Multihop Wireless Sensor Networks

Cooperative Sensor Selection Optimization and Power-Efficient Gathering for Multihop Wireless Sensor Networks

Energy Issues and Energy Aware Routing in Wireless Ad Hoc Networks

A Review Study on Analytical Estimation of Optimal Number of Clusters in Wireless Sensor Networks

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