A New Approach for Clustering in Wireless Sensors Networks Based on LEACH

Khediri, Salim El; Nasri, Nejah; Wei, Anne; Kachouri, Abdennaceur

doi:10.1016/j.procs.2014.05.551

Cited by 100 publications

(63 citation statements)

References 8 publications

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“…The decision of becoming a cluster head is made by the node selectingaarbitrary number between 0 and 1. The sensor node will turn to a Cluster Head if the number is not more than the following threshold [1]:…”

Section: Taxonomy Of Clustering Protocols 21 Leach (Low Energy Adaptmentioning

confidence: 99%

“…Where P is the desired percentage of CHs, is the current round, and is the set of nodes that have not been elected CHs in the last 1/P rounds [1]. The second step is called SteadyState Phasewhere data is delivered to the Base Station and compressing sensing of data is done.…”

Section: Taxonomy Of Clustering Protocols 21 Leach (Low Energy Adaptmentioning

confidence: 99%

“…Nasriet al 2014 [1]have presented a new approach for clustering based on Leach Protocol. This paper have discussed about the Leach protocol which is Low Energy Adaptive Clustering Hierarchy approach used to select nodes randomly as cluster head and distribute jobs according to some scheduling algorithm.…”

Section: Related Workmentioning

confidence: 99%

“…Clustering in Wireless Networks is the process of dividing the nodes of network into different groups where each group agrees on center node which is known as cluster head. Cluster head is responsible for collecting the data of group members and aggregate that data and send this data to the base station.Some of the Clustering approaches are TEEN [18], APTEEN [17] , M-LEACH [14] , SEP [7] ,TL-LEACH [12], LEACH-C [16] , BEEM [2] , NEW-LEACH [5], HEED [13], EECH [15], T-LEACH [8], LEACH [1]. In Clustering process, Selection of cluster head plays an important role in performance of network.…”

Section: Introductionmentioning

confidence: 99%

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Comparative Analysis of Various Energy Efficient Protocols for Wireless Sensor Networks

Kaur¹,

Waraich²

2015

IJCA

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Due to limited battery of sensor nodes, energy efficiency becomes very critical issue. This paper presents a comparative analysis on various protocols of Wireless sensor networks. The overall objective of this paper is to evaluate the best protocol among the available protocols. This paper has shown that the still majority of research on WSNs suffers from certain issues. The use of the hard and soft thresholds has been ignored by the most of the existing researchers. In many protocols node might not become cluster head for a long time so will result in load misbalancing. The comparative analysis of the protocols have been done with the parameters based ondata fusion, energy aware, route selection, base station, inter-cluster and intra-cluster. This paper has shown that the protocol BEEM has found to be very effective among others.

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Section: Taxonomy Of Clustering Protocols 21 Leach (Low Energy Adaptmentioning

confidence: 99%

Section: Taxonomy Of Clustering Protocols 21 Leach (Low Energy Adaptmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Comparative Analysis of Various Energy Efficient Protocols for Wireless Sensor Networks

Kaur¹,

Waraich²

2015

IJCA

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“…In this study a comprehensive discussion is provided in the text highlighting the relative advantages of many of the prominent proposals in this category in order to enable designers make informed choices based on merits. Further analysis of LEACH energy parameters is also presented in [30] while a new clustering approach in Wireless Sensor Networks based on LEACH is presented in [31]. In order to conserve node power and prolong network lifetime, routing protocols that switch off nodes along inactive links have been proposed in [3].…”

Section: B Routing Protocols and Related Modelsmentioning

confidence: 99%

A Framework for Energy Based Performability Models for Wireless Sensor Networks

Omondi¹,

Shah²,

Gemikonakli³

et al. 2015

2015 IEEE 29th International Conference on Advanced Information Networking and Applications Workshops

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Abstract-A novel idea of alternating node operations between Active and Sleep modes in Wireless Sensor Network (WSN) has successfully been used to save node power consumption. The idea which started off as a simple implementation of a timer in most protocols has been improved over the years to dynamically change with traffic conditions and the nature of application area. Recently, use of a second low power radio transceiver to triggered Active/Sleep modes has also been made. The idea of Active/Sleep operation modes has also been used to separately model and evaluate performance and availability of WSNs. The advancement in technology and continuous improvements of the existing protocols and application implementation demands continue to pose great challenges to the existing performance and availability models. In this study the need for integrating performance and availability studies of WSNs in the presence of both channel and node failures and repairs is investigated. A framework that outlines and characterizes key models required for integration of performance and availability of WSN is in turn outlined. Possible solution techniques for such models are also highlighted. Finally it is shown that the resulting models may be used to comparatively evaluate energy consumption of the existing motes and WSNs as well as deriving required performance measures.

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Cluster‐based data transmission scheme in wireless sensor networks using black hole and ant colony algorithms

Sefati

Abdi

Ghaffari

2021

Int J Communication

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Summary Since sensor nodes use limited battery power, sensor nodes power is considered to be a challenge and fundamental issue in wireless networks. Wireless sensor networks (WSNs) have recently used clustering‐based methods and different routing protocols in clusters which are full of sensor nodes. In this way, cluster heads (CHs), which are regarded as the selected nodes among other nodes within a given cluster, accumulate the information transmitted from their own cluster and send it to the sink. In this method, they try to control power consumption in a balanced way. In clustering method and routing among network nodes, network lifetime is enhanced which leads to achieving the best efficiency and productivity. In this paper, the optimized black hole algorithm is employed to select an optimal CH from sensor nodes. The CH selection is optimized by the free buffer of nodes, residual energy, and distance. The path between source CH and sink is identified by using ant colony optimization (ACO) algorithm. The combination of black hole algorithm and ant colony algorithm, with respect to clustering and routing, leads to the optimization of the proposed method in terms of operational criteria such as power consumption and eventually lifetime enhancement. The results obtained from simulating the proposed method in Matlab environment indicated that it has better results in comparison with other methods. The outputs of the obtained results from the proposed method indicated that it outperformed the other four comparative methods in terms of packet delivery rate and the number of transmitted packets to the CH and to the sink.

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A New Approach for Clustering in Wireless Sensors Networks Based on LEACH

Cited by 100 publications

References 8 publications

Comparative Analysis of Various Energy Efficient Protocols for Wireless Sensor Networks

Comparative Analysis of Various Energy Efficient Protocols for Wireless Sensor Networks

A Framework for Energy Based Performability Models for Wireless Sensor Networks

Cluster‐based data transmission scheme in wireless sensor networks using black hole and ant colony algorithms

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