A Review on Hierarchical Routing Protocols for Wireless Sensor Networks

Manap, Zahariah; Ali, Borhanuddin Mohd; Ng, Chee Kyun; Noordin, Nor Kamariah; Sali, Aduwati

doi:10.1007/s11277-013-1056-5

Cited by 64 publications

(25 citation statements)

References 27 publications

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“…Organizing clusters is a natural way of classifying neighboring nodes and omitting redundant data in many applications. The total amount of data transmitted to the base station (BS) drops significantly through collecting and combining data from nodes in the CH, that results in a reduced energy consumption [6].…”

Section: Related Workmentioning

confidence: 99%

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EACHP: Energy Aware Clustering Hierarchy Protocol for Large Scale Wireless Sensor Networks

Barati

Movaghar

Rahmani

2015

Wireless Pers Commun

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Wireless sensor networks (WSNs) comprise a large number of small sensor nodes scattered across limited geographical areas. The nodes in such networks carry sources of limited and mainly unchangeable energy. Therefore, it is necessary that these networks operate under energy efficient protocols and structures. Energy efficient clustering algorithms have been developed to reduce the networks energy consumption and extend its lifetime. This paper presents an innovative cluster-based communication protocol for WSNs. In order to reduce communication overhead, the authors propose an Energy Aware Clustering Hierarchy Protocol that creates a multi-level hierarchical structure to adequately route and collect data in WSN. The paper also propose an efficient clustering protocol which selects the best cluster head (CH) available and considers criteria such as residual energy, lower communication costs, cluster density, and minimum distance between cluster heads, cluster members and base station in order to contribute to an extension of network lifetime. Through extensive simulations, we show that our proposed protocol consumes the lowest amount of energy during the clustering process, selects the right number of CHs, and completes the clustering process quickly, when compared to state-of-the-art clustering mechanisms in WSN.

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Section: Related Workmentioning

confidence: 99%

“…The data, collected from all sensor nodes, is then processed for the user or a special operation. As mentioned above, due to the random distribution of nodes, networking protocols employed by the network are required to allow for self-organization [6].…”

Section: Introductionmentioning

confidence: 99%

EACHP: Energy Aware Clustering Hierarchy Protocol for Large Scale Wireless Sensor Networks

Barati

Movaghar

Rahmani

2015

Wireless Pers Commun

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“…The first main parameter concerns the remaining energy of each node, and the second parameter is the intra-cluster "communication cost". For example, the cost can be a function of neighbour proximity or cluster density, that can calculated using Equation (2). Unlike LEACH, HEED protocol the CH nodes are not randomly selected.…”

Section: Chybrid Energy-efficient Distributed (Heed)mentioning

confidence: 99%

“…WSNs composed of a large number of sensor nodes with limited battery power, which can be either densely or sparsely deployed in harsh and extreme environments, such as wild remote areas, natural habitats, and regions with access risk. On one hand, sensor nodes are usually battery-powered with limited operating time, and therefore they are highly sensitive to failure [2] [3]. On the other hand, the design an energy efficient WSNs protocol to prolonging the network lifetime is a challenging task due to the unique nature and strong networking constraints of wireless sensor networks [4].…”

Section: Introductionmentioning

confidence: 99%

A New Energy Efficient Cluster based Protocol for Wireless Sensor Networks

Eshaftri¹,

Al‐Dubai²,

Romdhani³

et al. 2015

Annals of Computer Science and Information Systems

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Abstract-In Wireless Sensor Networks (WSNs), clustering techniques are usually used as a key effective solution to prolong the network lifetime by reducing energy consumption among the sensor nodes . Despite many works on clustering in WSNs this issue is still outstanding. However, the most existing solutions suffer from long and iterative clustering cycles. In an attempt to fill in this gap, we propose a new cluster-based protocol, referred to as Load-balancing Cluster Based Protocol (LCP) that introduces a new inter-cluster approach to increase network lifetime. This new protocol rotates continuously the election of the Cluster Head (CH) election in each cluster, and selects the node with the highest residual energy in each round. Extensive simulation experiments show that our proposed approach effectively balances the energy consumes among all sensor nodes and increases network lifetime compared to other clustering protocols.

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“…WSNs based on this type of architecture suffered from number of problems like sink failure, energy hole problem etc. In order to address above issues, sensor nodes are partitioned into various groups called clusters [7]. In [8] author proposed an Energy-Efficient Communication Protocols for Wireless Micro-sensor Networks i.e.…”

Section: Cluster Basedmentioning

confidence: 99%

A Comprehensive Survey of Data Processing Approaches

Katiyar¹,

Prasad²

2015

IJCA

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In Wireless Sensor Networks (WSNs), energy of the sensor nodes are the most concerning factor because each sensor is equipped with limited amount of energy which is used to perform lots of work. Sensors have capabilities of sensing, analyzing, processing and communication of the data. In WSNs, the most responsible factor behind energy consumption of the sensor nodes is Data Processing which mainly involves data sensing, data aggregation and dissemination. Sensor nodes needs to process data in such a way that it can generate useful information on spending only affordable amount of energy. The past records shows that in early stages WSNs architecture was based on static nodes of densely deployed sensing areas and after that authors have also proposed WSNs architecture based on mobility with the help of pre-existing techniques and new ideas. A comprehensive survey of existing data processing approaches and their multilevel classification scheme is presented in this paper. The taxonomy together with the comparative tables can be used as a guideline to select a technique suitable for their intended application.

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A Review on Hierarchical Routing Protocols for Wireless Sensor Networks

Cited by 64 publications

References 27 publications

EACHP: Energy Aware Clustering Hierarchy Protocol for Large Scale Wireless Sensor Networks

EACHP: Energy Aware Clustering Hierarchy Protocol for Large Scale Wireless Sensor Networks

A New Energy Efficient Cluster based Protocol for Wireless Sensor Networks

A Comprehensive Survey of Data Processing Approaches

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