Journal ArticleDOI
Energy efficient intra-cluster data aggregation technique for wireless sensor network
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TLDR
Comparative analysis of ICA, LEACH and LEACH-C protocols are carried by considering the parameters such as number of alive nodes, energy consumption, number of data packets received by BS, and results obtained show that ICA performs better compared to LEACHAbstract:Â
Cluster based routing strategies are popular categories of routing protocols among wireless sensor networks (WSNs). In a typical cluster based routing protocols, few nodes are elected as cluster Head (CH) nodes and they form clusters with other nodes of the networks known as cluster members. The data sensed by cluster members is sent to CH node for data aggregation and further processing. Data Aggregation is considered to be one of the important methods used to prolong the network lifetime of WSN. Data aggregation is quite popular among cluster based routing protocols for WSN, where the data packets are aggregated by intermediate nodes till it reaches to BS. Data aggregation ultimately helps in reducing the number of data messages thereby assisting in network life prolongation. In this paper, an intra-cluster data aggregation technique (ICA) for WSNs is proposed. ICA constructs the intra cluster data aggregation path from a source node to its CH node in an energy efficient way. The data packets are aggregated along the aggregation path by intermediate relay nodes till the message reaches to designated CH node. Comparative analysis of ICA, LEACH and LEACH-C protocols are carried by considering the parameters such as number of alive nodes, energy consumption, number of data packets received by BS. Results obtained show that ICA performs better compared to LEACH and LEACH-C protocols.read more
Citations
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SHSDA: secure hybrid structure data aggregation method in wireless sensor networks
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Book ChapterDOI
In-network Data Aggregation Techniques for Wireless Sensor Networks: A Survey
T. Kiruthiga,N. Shanmugasundaram +1 more
TL;DR: In this paper, various in-network data aggregation algorithms are analyzed in detail and an insight into the techniques utilized is provided, where the prime idea of data aggregation is to gather, combine, and compress the data from various sensor nodes during transmission to the sink node.
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Energy optimized hybrid PSO and wolf search based LEACH
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A novel energy-efficient and reliable ACO-based routing protocol for WSN-enabled forest fires detection
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References
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Journal ArticleDOI
Wireless sensor networks: a survey
TL;DR: The concept of sensor networks which has been made viable by the convergence of micro-electro-mechanical systems technology, wireless communications and digital electronics is described.
Energy-efficient communication protocols for wireless microsensor networks
TL;DR: LEACH (Low-Energy Adaptive Clustering Hierarchy), a clustering-based protocol that utilizes randomized rotation of local cluster based station (cluster-heads) to evenly distribute the energy load among the sensors in the network, is proposed.
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 Successors of LEACH Protocol
TL;DR: This paper surveys the variants of LEACH routing protocols proposed so far and discusses the enhancement and working of them, and makes suggestions on future research domains in the area of WSN.
Journal ArticleDOI
Data aggregation and routing in Wireless Sensor Networks: Optimal and heuristic algorithms
TL;DR: This paper presents Grid-based Routing and Aggregator Selection Scheme (GRASS), a scheme for WSNs that can achieve low energy dissipation and low latency without sacrificing quality, and shows that, when compared to other schemes, GRASS improves system lifetime with acceptable levels of latency in data aggregation and without sacrificing data quality.