无线传感器网络LEACH协议簇首优化选择机制<br>An Optimal Mechanism for the Cluster-Heads Selection of LEACH Protocol in Wireless Sensor Networks

In order to prolong the lifetime of wireless sensor networks, improvement of cluster-head selection mechanism based on LEACH protocol is proposed. To make the energy distribution more uniform, we consider the relationship of the density of nodes, residual energy of nodes and distance between nodes and Sink node. It eliminates the defect of energy consumption imbalance in the network caused by random position of cluster-heads and the problem of premature death of nodes caused by low energy nodes becoming cluster-heads. Simulation results show that compared with LEACH algorithm, the improved algorithm extend the network lifetime.

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An optimal mechanism of LEACH protocol for wireless sensor networks

2009 ISECS International Colloquium on Computing, Communication, Control, and Management ◽

10.1109/cccm.2009.5267725 ◽

2009 ◽

Cited By ~ 6

Author(s):

Zhiming Yang ◽

Junyi Liu ◽

Xuhui Chen

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Wireless Sensor ◽

Optimal Mechanism ◽

Leach Protocol

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Energy-Balancing Unequal Clustering Approach to Reduce the Blind Spot Problem in Wireless Sensor Networks (WSNs)

Sensors ◽

10.3390/s18124258 ◽

2018 ◽

Vol 18 (12) ◽

pp. 4258 ◽

Cited By ~ 2

Author(s):

Nazmul Islam ◽

Saurabh Dey ◽

Srinivas Sampalli

Keyword(s):

Wireless Sensor Networks ◽

Energy Consumption ◽

Sensor Networks ◽

Blind Spot ◽

Wireless Sensor ◽

Unequal Clustering ◽

Cluster Heads ◽

Clustering Approach ◽

Monitoring Area ◽

Selection Of

Wireless Sensor Networks (WSNs) have become a significant part of surveillance techniques. With unequal clustering approaches and multi-hop communication, WSNs can balance energy among the clusters and serve a wide monitoring area. Recent research has shown significant improvements in unequal clustering approaches by forming clusters prior to the selection of cluster heads. These improvements adopt different geometric fractals, such as the Sierpinski triangle, to divide the monitoring area into multiple clusters. However, performance of such approaches can be improved further by cognitive partitioning of the monitoring area instead of adopting random fractals. This paper proposes a novel clustering approach that partitions the monitoring area in a cognitive way for balancing the energy consumption. In addition, the proposed approach adopts a two-layered scrutinization process for the selection of cluster heads that ensures minimum energy consumption from the network. Furthermore, it reduces the blind spot problem that escalates once the nodes start dying. The proposed approach has been tested in terms of number of alive nodes per round, energy consumption of nodes and clusters, and distribution of alive nodes in the network. Results show a significant improvement in balancing the energy consumption among clusters and a reduction in the blind spot problem.

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An Optimal Cluter Head Parameter in Leach Protocol of Wireless Sensor Networks

Journal of Science and Technology Issue on Information and Communications Technology ◽

10.31130/ict-ud.2020.92 ◽

2020 ◽

Vol 18 (4.2) ◽

pp. 8

Author(s):

Tat-Bao-Thien Nguyen

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Energy Saving ◽

Efficient Solution ◽

Optimal Number ◽

Optimal Performance ◽

Wireless Sensor ◽

Cluster Heads ◽

Leach Protocol ◽

Head Parameter

In wireless sensor networks, LEACH is often used as an energy saving protocol and extends the network life. However, there are many parameters that affect the performance of the LEACH protocol, one of which is the number of cluster heads. This paper proposes a simple and efficient solution to determine the optimal number of cluster heads in the LEACH protocol. For the proposed solution, the system can achieve the optimal performance between the longest lifetime in the constraint as the largest amount of data transmitted in the network.

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