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Energy Efficient Probabilistic Clustering Technique for Data Aggregation in Wireless Sensor Network
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DOI：10.1007/s11277-017-4370-5.png)
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Economic utilization of energy in wireless sensor network, composed of tiny battery powered sensor nodes constrained in energy and computation power is a critical issue. Clustering techniques are most often used to reduce the consumption of energy by the sensor nodes due to data transmission. A widely used class of clustering techniques is probabilistic clustering in which a predetermined optimal probability is used to facilitate the cluster head selection process. This paper aims to devise a technique that improves the energy efficiency of probabilistic clustering algorithms by optimizing the number of clusters and the distribution of cluster heads in the network. We also present two generic approaches to integrate proposed technique into the existing probabilistic clustering algorithms. The simulation results show a considerable improvement in energy efficiency of probabilistic clustering protocols and consequently a prolonged network life time.
Keyword:
Clustering
Data aggregation
Probabilistic
Sensor network
Energy efficiency
Epoch
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期刊
IF:
2.2
论文数:
742
被引数:
1.2W
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HEED: A hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networksHEED: 一种用于ad hoc传感器网络的混合，节能，分布式分簇方法
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