Hierarchical routing approach-based energy optimization in wireless sensor networks

Aoudia, Hania; Touati, Youcef; Ali-Chérif, Arab; Greussay, Patrick

doi:10.1145/2386995.2387017

Cited by 7 publications

(6 citation statements)

References 9 publications

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“…As in LEACH, Energy-LEACH consists of several rounds in which CH nodes are elected [7][8][9]. It improves the CH nodes selection procedure and uses residual energy of nodes as a main metric.…”

Section: Introductionmentioning

confidence: 99%

“…This algorithm attempts to minimize the total energy that non CH nodes use to transmit their data to CH nodes by minimizing the total sum of squared distance between nodes and their cluster head nodes. In [8], authors proposed an improved LEACH protocol called LEACH-M where clusters formation is performed only once, minimizing by this way energy consumption and maximizing in the same time the lifetime of the network. Even if energy consumption gain is 10 % comparatively to LEACH, the main drawback of LEACH-M is that network can stop running once all member nodes (MN) for a given cluster are elected as CH nodes.…”

Section: Introductionmentioning

confidence: 99%

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Wireless Sensor Networks Lifetime Extension Based on a New Hybrid Hierarchical Routing Mechanism

Aoudia

Touati

Ali-Chérif

2015

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Abstract. Streamline energy consumption in Wireless Sensor Network (WSN) is and stills a topical problem in which several investigations have undertaken. The aim is to develop mechanisms such those based on routing protocols, for prolonging the network lifetime leading to improve its robustness and fluidity of transmissions, and then ensure an overall stable operation. In this paper, we present a robust and hybrid hierarchical multi-hop routing protocol wherein a dynamic clustering mechanism is implemented for optimal clusters construction. The approach combines successfully heterogonous information in terms of residual energy and signal strength of nodes and allows a multipath search by optimizing end-to-end delay and energy consumption. The effectiveness of the proposed approach is illustrated in simulations. For this purpose, a comparative study with LEACH protocol has been carried out for several networks with different densities.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Wireless Sensor Networks Lifetime Extension Based on a New Hybrid Hierarchical Routing Mechanism

Aoudia

Touati

Ali-Chérif

2015

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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“…Cluster-based architecture is an efficient approach for this data transmission. Clustering is a key technique used to extend the lifetime of a sensor network by reducing energy consumption [4] [5]. A generic cluster -based WSN architecture is presented in Figure 1.…”

Section: Introductionmentioning

confidence: 99%

EEDBC-M: Enhancement of Leach-Mobile protocol with Energy Efficient Density-based Clustering for Mobile Sensor Networks (MSNs)

Anitha¹,

Kamalakkannan²

2013

IJCA

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In recent years, Mobile sensor networks (MSNs) are significantly developed in various areas of applications. The most important feature of MSN is that the sensor nodes are small size, limited processing, low power and can able to change their location. In mobility, life time of the sensor nodes is the most critical parameter. Designing the energy efficient and reliable routing protocols for these applications is a great challenge task due to topological change of the networks and resource limitation in the environment. Existing energy efficient cluster based routing protocols like LEACH-M, LEACH-ME, and CBR-Mobile are designed for mobile sensor network which is efficient transmission of sensor nodes. But these protocols are not concentrating the wellorganized cluster formation. So there is increase the end-toend data transmission delay and more energy consumption. Therefore this paper propose an Energy Efficient Density Based Clustering for Mobile node (EEDBC-Mobile) algorithm which is on the density based clustering where as DBSCAN algorithm is used for cluster formation that are significantly more effective in discovering clusters of arbitrary shape. Then cluster head selection process is according to a node residual energy, Mobility and density such as node closeness to its neighbours. It also achieves quite uniform cluster head allocation across the network. A careful selection of the cluster head selection parameters can balance load among cluster heads. The Experimental results demonstrate that EEDBC-Mobile algorithm outperforms LEACH-Mobile in terms of the Energy consumption, Network life time, Throughput, Delay and Data Delivery ratio.

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“…Section 4 concerns some simulations that have been conducted to show the effectiveness of the proposed approach. A comparative study with a standard routing protocol [5] and LEACH-M method [6] is illustrated. Finally, in section 5, we dress some conclusions.…”

Section: Introductionmentioning

confidence: 99%

“…Nodes use this information to determine its TDMA slot for data transmission. In [6], authors proposed an improved LEACH protocol called LEACH-M where clusters formation is performed only once, minimizing by this way energy consumption and maximizing in the same time the lifetime of the network. Unlike in LEACH where nodes select their membership to given CHs nodes more than once, LEACH-M elects CH nodes having a highest energy by sending a membership message to the BS.…”

Section: Introductionmentioning

confidence: 99%

Energy Optimization Mechanism in Wireless Sensor Networks

Aoudia

Touati

Chérif

2013

2013 International Conference on MOBILe Wireless MiddleWARE, Operating Systems, and Applications

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Nowadays, wireless sensor networks (WSN) present a lot of interest in several research areas due to their wide range of applications. One of the most critical problems is how to ensure a better and efficient communication taking into account some constraints such as network lifetime and energy consumption. In this context and as an alternative, several papers focusing on the conception and development of robust routing protocols have been undertaken these last decades. In this paper, we propose a robust hierarchical routing protocol using a dynamic clustering mechanism (HRP-DCM) which consists to build clusters wherein coordinators nodes with extra privileges called Cluster-Head (CH) are able to create and manipulate messages using TDMA schedule and aggregate data according to CDMA method. The effectiveness of the proposed approach is illustrated in simulations.

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Hierarchical routing approach-based energy optimization in wireless sensor networks

Cited by 7 publications

References 9 publications

Wireless Sensor Networks Lifetime Extension Based on a New Hybrid Hierarchical Routing Mechanism

Wireless Sensor Networks Lifetime Extension Based on a New Hybrid Hierarchical Routing Mechanism

EEDBC-M: Enhancement of Leach-Mobile protocol with Energy Efficient Density-based Clustering for Mobile Sensor Networks (MSNs)

Energy Optimization Mechanism in Wireless Sensor Networks

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