SEECH: Scalable Energy Efficient Clustering Hierarchy Protocol in Wireless Sensor Networks

Tarhani, Mehdi; Kavian, Yousef S.; Siavoshi, Saman

doi:10.1109/jsen.2014.2358567

Cited by 160 publications

(77 citation statements)

References 19 publications

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“…If a same node perform both the task than energy will deplete more quickly. To avoid this problem, SEECH [10] has separated both the roles of CH and relay node. In our work we have also divided the task of the CH and relay node.…”

Section: Relay Selectionmentioning

confidence: 99%

“…Here, all the member nodes of a cluster elect one cluster head among them. In existing literature, we can find various techniques for selecting cluster head [4], [7], [8], [9], [10].…”

Section: A Cluster Head Selectionmentioning

confidence: 99%

“…SEECH is a distributed protocol proposed by [10] where CH selection and relay node selection is separated to save network energy. In HEED [7] main focus is on minimizing intra-cluster communication cost.…”

mentioning

confidence: 99%

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Energy Efficient Clustering Protocol for Wireless Sensor Network

Agrawal¹,

Pandey²,

Motwani³

2017

IJET

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Abstract-Energy consumption of sensor nodes in wireless sensor networks (WSNs) is a big challenge for improving network lifetime. Several approaches have been proposed in existing literature for this. One of the best approach can be considered as clustering. During clustering strategy, cluster head (CH) selection plays an important role because CH is responsible for collecting data from the member nodes, processing and forwarding the data to next level or sink. Because of this, energy requirement for CH is more than member nodes. In our work we have tried to minimize energy consumption of a network by selecting optimal CH in WSNs using energy and distance parameters. In this paper we propose CH selection algorithm using energy and distance (E/D) parameter based on fan-shaped design. Experimental results prove that our method has advantages of selecting CH over random CH selection method. Clustering divides the network into smaller partitions. Each partition is known as cluster. Each cluster selects a CH which is responsible for collecting data from member nodes and forwarding it to the next cluster or sink during clustering process. Keyword-Wireless SensorCH is a node which consumes more power than member nodes. Hence it should be selected optimally to improve the network performance. Cluster based technique in wireless sensor network employees two types of communication namely intra-cluster communication and inter-cluster communication. In intra-cluster communication the member nodes of a cluster selects a CH and send data to it. During inter-cluster communication one CH will send the aggregated data of a cluster to another CH.In our work we have focused on effective communication strategy to select best CH so that energy spent in communication should be minimized resulting into optimal network utilization. Our work is based on the fanshaped clustering model proposed by Hai Lin et.al [1]. The whole network is divided into fan-shaped clusters in which sink occupies the center position.In this paper we optimize the CH selection procedure by considering following two parameters based on fan shaped architecture. 1. Energy of a node and 2. Distance of a node from sinkThe remainder of this paper is organized as follows: Section 2 describes the clustering technique and its related works. Section 3 describes our E/D approach in detail specifically the CH selection formula. Section 4

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Section: Relay Selectionmentioning

confidence: 99%

“…Here, all the member nodes of a cluster elect one cluster head among them. In existing literature, we can find various techniques for selecting cluster head [4], [7], [8], [9], [10].…”

Section: A Cluster Head Selectionmentioning

confidence: 99%

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Energy Efficient Clustering Protocol for Wireless Sensor Network

Agrawal¹,

Pandey²,

Motwani³

2017

IJET

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“…Shokouhifar proposes the ASLPR protocol in [14], which takes four factors into account: the residual energy of nodes, the distance from node to the base station, the number of CHs in the current round, and the total number of nodes that have been selected as a cluster head so far. In addition, the SEECH protocol [15] selects the cluster heads and relay nodes separately to save the energy of CHs.…”

Section: Related Workmentioning

confidence: 99%

Density Self-Adaptive Hybrid Clustering Routing Protocol for Wireless Sensor Networks

Wang

2016

Future Internet

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Abstract:Energy efficiency is of major concern in wireless sensor networks, especially in difficult node deployment environments. Clustering is an effective method to save energy consumption and prolong the network lifetime. There are two kinds of clustering methods in hierarchical routing protocols, namely distributed control and centralized control. In the distributed strategy, the algorithm has good scalability, but it can easily lead to an uneven distribution of cluster heads. When the centralized strategy is used, the network is balanced and robust, but the overhead of clustering is large and the network latency is increased. In our proposed protocol, named DAHC, a mixture algorithm of distributed and centralized control is used to select a cluster head (CH). Simultaneously, we propose a novel approach to judge the cluster density and adjust according to the preset threshold. The simulation results show that our methods can evenly distribute the energy load on all nodes, save the energy consumption of communication and extend the network lifetime concurrently.

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“…The nodes with high initial energy and residual energy will have more chances to be elected as CHs than nodes with low energy whereas in M-EECP [8], the elected CHs communicate the data packets to the base station via multi-hop communication approach. SEECH [9] selects CHs and relays separately and based on nodes eligibilities. In this way, high and low degree nodes are, respectively, employed as CHs and relays.…”

Section: Introductionmentioning

confidence: 99%

Mean Territorial Energy Based Clustering Protocol for Randomly Deployed Wireless Sensor Networks

Gawade¹,

Nalbalwar²

2017

AIT

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Clustering algorithms can balance the power consumption of energy constraint wireless sensor networks. This paper proposes a new clustering protocol called Mean Territorial Energy Based Clustering Protocol (MTEP) for randomly deployed wireless sensor networks. In MTEP, cluster heads are selected according to residual energy and location information of a node in current round as well as mean territorial energy and total base station distance of node's corresponding cluster territory in previous round. Energy consumption in conventional protocols becomes unbalanced because of clusters having different lengths. Proposed MTEP protocol addresses this problem by setting thresholds on cluster length and node to cluster head distance for producing equal length clusters. Simulation results show that MTEP protocol extends network lifetime and stability with reduction in energy dissipation compared to other clustering protocols such as LEACH and REAC.

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SEECH: Scalable Energy Efficient Clustering Hierarchy Protocol in Wireless Sensor Networks

Cited by 160 publications

References 19 publications

Energy Efficient Clustering Protocol for Wireless Sensor Network

Energy Efficient Clustering Protocol for Wireless Sensor Network

Density Self-Adaptive Hybrid Clustering Routing Protocol for Wireless Sensor Networks

Mean Territorial Energy Based Clustering Protocol for Randomly Deployed Wireless Sensor Networks

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