An Energy-aware Clustering Technique for Wireless Sensor Networks

Naruephiphat, Wibhada; Charnsripinyo, Chalermpol

doi:10.5772/13714

Cited by 4 publications

(2 citation statements)

References 23 publications

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“…In addition, the CHs being a focal point within cluster boundary, its appropriate selection increases network lifetime and improves network connectivity. Thus, design of energy effiicient cluster based routing scheme is an key research problem for enhancing overall network performance [13,14]. The rest of the research paper is organized as follows.…”

Section: Introductionmentioning

confidence: 99%

Improved Energy Aware Cluster based Data Routing Scheme for WSN

et al. 2016

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Wireless sensor network (WSN) Keywords: clustering, network lifetime, energy consumption, route discovery, clusters managementCopyright © 2016 Universitas Ahmad Dahlan. All rights reserved. IntroductionWSN consists of several sensor nodes with one or many sink nodes that are scattered in a physical environment to sense the events and gathering data. Sensor nodes sense the environment gathering information, integrate the data and send the achieved information to sink node or base station (BS). The sink in turn queries the sensor nodes for information [1]. The sensor nodes are small devices with small batteries and recharging of these batteries is impractical in deployed scenarios. Therefore to reduce energy usage and prolong lifetime is main design criteria for sensor networks. Structure and unstructured are two main categories of WSNs. Unstructured WSN consist of dense collection of wireless sensor nodes. After deployed, the nodes left unattended to do data gathering and reporting. Manage connectivity and detecting nodes or link failures is difficult in unstructured WSN because there is large number of nodes. On other side sensor nodes are deployed in pre defined manner in structured WSN. Structured network reduces network maintenance and expenses [2]. Adhoc routing protocols are not feasible in WSN due to limited energy and computing capabilities. Sensor nodes are limited in memory, bandwidth, transmission power and energy. Such types of constraints have posed many research issues to prolong network lifetime.WSN consist number of nodes with limited memory, processing, power and energy resources. Due to such limited resources monitoring the interested physical environment by numerous sensing devices for a long period of time makes it a challenging task. Saving energy to enhance the network's lifetime is a critical problem in WSN and therefore "how to enhanced and improve the WSN lifetime" is a crucial question. The primary objective of WSN is data collection and transmission. Free space and multipath fading are two types of models in for WSN. There is a nonlinear relationship between each node in terms of the energy consumption of wireless communication. The energy consumption of free space model is much smaller than

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Section: Introductionmentioning

confidence: 99%

Improved Energy Aware Cluster based Data Routing Scheme for WSN

et al. 2016

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“…Several proposed cluster based routing protocols for WSN [5], [7], [9], [14] emphasizes on minimizing the routing overheads and energy usage of the sensor nodes but still the issue is unable to prevent completely [15]- [17]. Design of energy ware cluster based mechanism is an key research problem for prolong WSN lifetime and efficiency [18]. The rest of the research paper is organized as follows.…”

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confidence: 99%

Grid Based Cluster Head Selection Mechanism for Wireless sensor network

et al. 2015

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Wireless sensor network (WSN) IntroductionWSN consists of several sensor nodes with one or many sink nodes that are scattered in a physical environment to sense the events and gathering data. Sensor nodes sense the environment gathering information, integrate the data and send towards BS or sink node. The sink in turn queries the sensor nodes for information [1]. Manage connectivity and detecting nodes or link failures is difficult in unstructured WSN because there is large number of nodes. The sensor nodes are tiny devices with limited constraints and it is not feasible in deployed scenarios to recharging the batteries. Therefore to decrease energy consumption and prolonging the WSN lifetime is main design objective for sensor based applications and mechanisms [2]. Cluster based routing protocols decreases network complexity and give better routing efficiency .That's why these protocols are more attractive in the area of WSN. Based on the role of sensor nodes in cluster based networks can be divided into four different categories. 1) Cluster head (CH): It is coordination of a group of nodes located within the boundaries of the cluster. It receives, compress and aggregate the sensed data by the cluster members and transmit to next hop. 2) Base station (BS): It has high processing capabilities and unlimited source of energy. All the aggregated data processed here and then forward to end user. 3) Relay node (RN): Also called gateway node and it is responsible for relaying sensed or aggregated data by other nodes towards the destination. 4) General node (GN): These are common nodes that sensed the physical environment and forward the data to their cluster heads (CHs). Minimize energy consumption, routing overheads and collisions are some main advantages of cluster based routing protocols. In clustering mechanism the role of sensor nodes are divided into CH, relay node, general node and BS categories. The two main categories of clustering mechanisms in WSN are static and dynamic. When clusters are formed in static mechanism then they remain same throughout of WSN lifetime but in dynamic the role of CHs are rotated among sensor nodes to prolong the network lifetime and balance the energy consumption. Cluster based routing protocols uses single and multi hop mechanisms. Multi hop communication prolongs energy efficiency and network lifetime so it should be adopted [3]. Due to sensor node's limited constraints adhoc routing protocols are not feasible for WSN

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