Comparative study of LEACH, LEACH-C and PEGASIS routing protocols for wireless sensor network

Sharma, Ishu; Singh, Rajvir; Khurana, Meenu

doi:10.1109/icacea.2015.7164821

Cited by 14 publications

(6 citation statements)

References 5 publications

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“…Extending the lifetime of a wireless sensor network is highly recommended issues. Reduce energy consumption in the network by choosing the best transmission path in a network that is responsible for the routing techniques (Sharma et al,2015). Consequently, Routing protocols schemes are the main requirements for developing a model for WSNs, if the desired is power conservation.…”

Section: Technical Backgroundmentioning

confidence: 99%

An Enhanced Hybrid Routing and Clustering Technique for Wireless Sensor Network

Al-Refai

2020

IJWMN

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Wireless Sensor Networks (WSN) have extensively deployed in a wide range of applications. However, WSN still faces several limitations in processing capabilities, memory, and power supply of sensor nodes. It is required to extend the lifetime of WSN. Mainly this is achieved by routing protocols choosing the best transmission path in-network with desired power conservation.This cause is developing a generic protocol framework for WSNa big challenge. This work proposed a new routing technique, described as Hybrid Routing-Clustering (HRC) model. This new approach takes advantage of clustering and routing procedures defined in K-Mean clustering and AODV routing, which constituted of three phases. This development aims to achieve enhanced power conservation rate in consequence network lifetime. An extensive evaluation methodology utilized to measure the performance of the proposed model in simulated scenarios.The results categorized in terms of the average amount of packet received and power conservation rate. The Hybrid Routing-Clustering (HRC) model was determined, showed enhanced results regarding both parameters. In the end, they are comparing these results with well-known routing and well-known clustering algorithms.

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Section: Technical Backgroundmentioning

confidence: 99%

An Enhanced Hybrid Routing and Clustering Technique for Wireless Sensor Network

Al-Refai

2020

IJWMN

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“…The Low Energy Adaptive Clustering Hierarchy-Centralized (LEACH-C) [15] is adaptable to non-uniform and dynamic energy distribution among the sensor nodes and the changing network configurations. LEACH-C requires that each node transmit information about its location to the base station at the beginning of each round to calculate the average energy of the nodes and whichever nodes have energy below this average will not participate in cluster head selection.…”

Section: Low Energy Adaptive Clustering Hierarchy-centralized (Leach-c)mentioning

confidence: 99%

Untitled

2018

IJASSN

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Wireless Sensor Networks (WSN) is widely deployed in different fields of applications of smart grid to provide reliable monitoring and controlling of the electric power grid. The objective of this paper is simulate and analyze impact of various smart grid environments on performance of four different WSN routing protocols namely the Low Energy Adaptive Clustering Hierarchy (LEACH) and Centralized LEACH (LEACT-C) as well as other two conventional protocols namely Minimum Transmission Energy (MTE) and Static Clustering. This analysis would be beneficial in making the correct choice of WSN routing protocols for various smart grid applications. The performance of the four protocols is simulated using NS-2 network simulation on Ubuntu. The results are analyzed and compared using number of data signals received at base station, energy consumption, and network lifetime as performance metrics. The results show that the performance of various protocols in the smart grid environments have deteriorated due log normal channel characteristics and consequently network lifetime have decreased significantly. The results also indicate that clustering based routing protocols have more advantageous over conventional protocols; MTE and static clustering. Also, centralized clustering approach is more effective as it distributes energy dissipation evenly throughout the sensor nodes which reduce energy consumption and prolong the networks' lifetime. This approach is more effective in delivering data to base station because it has global knowledge of the location and energy of all the nodes in the network.

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“…In steady-state period, according to TDMA schedule non-cluster nodes send data signals to cluster head. After data aggregation, combined messages are transmitted to base station with different spreading factor to base station [24]. LEACH-C works better under fewer loads, but for higher load complexity of selecting cluster head by centralized method degrades its performance.…”

Section: E Leach-cmentioning

confidence: 99%