A novel cluster-based self-organization algorithm for wireless sensor networks

Lehsaini, Mohamed; Guyennet, Hervé; Feham, Mohammed

doi:10.1109/cts.2008.4543907

Cited by 28 publications

(21 citation statements)

References 17 publications

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“…In their technique, sensors are assumed to have topological knowledge at two hops, they can change their transmission power, and operate in an asynchronous manner without central control. In the purpose to generate balanced clusters, [9] restricts both diameter and size of the cluster. Two thresholds are used to control the size of generated clusters and the distances between cluster members and their corresponding clusterhead are at most two hops.…”

Section: Related Workmentioning

confidence: 99%

Energy optimization based on the redundancy in WSNs

Diane

Kacimi

Mammeri

et al. 2013

6th Joint IFIP Wireless and Mobile Networking Conference (WMNC)

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OATAO is an open access repository that collects the work of Toulouse researchers and makes it freely available over the web where possible. Abstract-Almost all WSNs (Wireless Sensor Networks) are deployed with some redundancy degree and redundancy is used only for robustness objectives. If not handled in an intelligent way, redundancy results in energy wasting because of (often unnecessary) redundant transmission and reception operations. We propose to take benefit from measurement redundancy to optimize the energy consumption and improve the end-to-end delay. We propose MR-LEACH (Measurement Redundancy aware LEACH ) protocol, which is an extension to the well-known LEACH protocol to improve energy consumption in cluster-based WSNs. In addition to cluster formation according to LEACH protocol redundant nodes are grouped taking into account their redundancy and only a single node transmits data in each redundant group. This technique significantly improves the energy consumption and ensures a better end-to-end delay. Through intensive simulations, we discuss the performance of our approach and show how it outperforms the original LEACH protocol in terms of network lifetime and end-to-end delay.

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Section: Related Workmentioning

confidence: 99%

Energy optimization based on the redundancy in WSNs

Diane

Kacimi

Mammeri

et al. 2013

6th Joint IFIP Wireless and Mobile Networking Conference (WMNC)

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“…ESAC [18] algorithm combines the advantages of the above proposed algorithms, and it improves clustering performance by overcoming their shortcomings. This algorithm uses the method of calculating weight in selecting cluster head.…”

Section: International Journal Of Computer Applications (0975 -8887) mentioning

confidence: 99%

WSN Performance Issues and Various Clustering Methods

Modi¹,

Prajapati²

2014

IJCA

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There are several application have been developed with need of self organization for network. To fulfill this requirement need of wireless sensor network in such applications. To manage network efficiently clustering is used. Lots of works have been done in field of wireless sensor networks (WSNs) in last few years. These researches have boost potential of WSNs in applications such as security monitoring, disaster management, military area, border protection and health monitoring systems. Such applications are required to be remotely deployed sensor nodes in huge numbers and to operate autonomously. So there need to scalability, nodes are often collected into disjoint clusters. This paper, presents a categorization and common organization of available clustering proposal. This work analysis various clustering algorithms used for WSNs and give a review with focusing on their objectives features, etc. and proposed efficient clustering method for stable cluster formation and maintenance.

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“…The ESAC [15] method uses main advantages of above mention methods and make more effective clustering method. This method uses cluster size as requirement of WSN condition.…”

Section: Related Workmentioning

confidence: 99%

Energy Efficient Smart Sensor Network Routing Protocol using Node Scheduling

Jameel¹,

Farooqui²

2015

IJCA

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Human needs are going more technology dependent in last decade. Technology touches live everywhere and also reach the area where humans unable to reach. One of Such important application is Wireless Sensor Networks (WSNs). This helps to collect data from different conditions where human faces challenges to gather information about atmosphere or environment. Apart of its advantage, WSN suffer from many different challenges like limited sensor node electric capacity, pattern of node deployment, data sending mechanism etc. To manage WSN with optimum resource utilization various data transmission methods have been given in recent years. This paper proposed another better method for improving network life span and increase stability of WSN. Proposed method manages all sensor nodes energy power within intelligence manor by using ON-OFF scheduling of node data transmission. Few nodes in ON state sense data and send to base station for one round of data transmission while other nodes are in power saving OFF mode by doing nothing neither sense nor transmit data. But for next round nodes are in ON status nodes goes to OFF power saving modes to save power and OFF mode nodes sense and send data to base station. This method is compared with other technique using same parameter while simulation and proposed method outperform better in all aspects of WSN comparison.

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A novel cluster-based self-organization algorithm for wireless sensor networks

Cited by 28 publications

References 17 publications

Energy optimization based on the redundancy in WSNs

Energy optimization based on the redundancy in WSNs

WSN Performance Issues and Various Clustering Methods

Energy Efficient Smart Sensor Network Routing Protocol using Node Scheduling

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