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Energy proficiency is an essential feature to intend an extensive existence wireless sensor network. More than a few methods have been proposed to boost the battery lifetime of sensor nodes. One of the methods is clustering approach which consists of two ways: selecting cluster heads with more residual energy and rotating cluster heads periodically from cluster to cluster thus extends the network...
Clustering is an effective approach for organizing the network into a connected hierarchy, load balancing, and prolonging network lifetime. Clustering protocols in wireless sensor networks are classified into static and dynamic. In static clustering, clusters are formed once, forever and role of the cluster head is scheduled among the nodes in a cluster. However, in dynamic clustering the time is...
Clustering technique is an effective topology control approach which can improve the scalability and lifetime in wireless sensor networks (WSNs). LEACH is a classical clustering algorithm for low energy scheme, however, it still have some deficiencies. This paper studies LEACH protocol, and put an Improved LEACH protocol which has more reasonable set-up phase. In the cluster heads election phase,...
Clustering sensor nodes is an effective topology control for increasing network lifetime and scalability. It also, balances the load on the sensor nodes. HEED is a well known distributed clustering protocol that uses both energy and communication cost to elect Cluster Heads (CHs) in a probabilistic way. This paper improves HEED protocol using fuzzy logic and a non probabilistic approach for CH election...
This paper presents a new cluster based routing protocol for Wireless Sensor Networks called Energy Based Clustering Self organizing map (EBCS). This new protocol can cluster sensor nodes based on multiple parameters; their energy level and coordinates, through using Self Organizing Map neural network capability in multi dimensional data clustering. Energy based clustering can form energy balanced...
The recent interest in Wireless Sensor Networks has led to a number of clustering algorithms that use the limited energy available at sensors more efficiently. In this article, we present a heritable clustering algorithm based on HEED for low energy wireless sensor network. It brings in appointment mechanism to reduce the cluster head reelect overhead efficiently. In the cluster, TDMA communication...
Since nodes in a sensor network have limited energy, prolonging the network lifetime and improving scalability become an important issue. In clustered sensor networks, clusterheads are responsible for data fusion within each cluster and transmit the aggregated data to the remote base station. As we all know energy efficiency can be obtained by multi-hop communication. In this paper, we integrate the...
Since the nodes in wireless sensor networks operate on limited power, it is an important issue to design efficient data gathering scheme that can save energy while meeting the needs of application. In this paper, we propose an energy-efficient cluster-based data gathering protocol (ECDGP). ECDGP uses a new clustering algorithm based on belief degree for clusterhead election. Furthermore, ECDGP selects...
Cluster based organization is widely used to achieve energy efficiency in Wireless Sensor Networks (WSN). In order to achieve confidentiality of the sensed data it is necessary to have secret key shared between a node and its cluster head. Key management is challenging as the cluster head changes in every round in cluster based organization. In this paper we propose two schemes for key management...
In wireless sensor networks, clustering algorithm prolongs works' lifetime drastically. In a cluster, because the distances are different between member nodes and head node, the energy consumption of member nodes will become unbalanced when they transmit message to the head node directly. The EBCA (energy balanced consumption algorithm) is proposed for the problem. In EBCA, member nodes are divided...
In recent years, wireless sensor networks become a new way to obtain information from an interesting area. There are many extensive applications of wireless sensor networks such as environment monitoring, surveillance, enemy tracking, etc. Since the available energy of sensor nodes are limited and hard to renew, energy supervision is critical for nodes and network lifetime in wireless sensor networks...
Recent advances in wireless sensor networks have led to many new protocols specifically designed for sensor networks where energy awareness is an essential consideration. Clustering is a key routing technique used to reduce energy consumption. Clustering sensors into groups, so that sensors communicate information only to cluster-heads and then the cluster-heads communicate the aggregated information...
Energy efficiency in the clustering protocols in highly desired in Wireless Sensor Network (WSN). The Dynamic Static Clustering (DSC) protocol is an energy efficient clustering protocol; however, it does not provide any fault tolerance mechanism. Moreover, the non-Cluster Head nodes send data to the Cluster Heads (CH) in every time slot of a frame allocated to them using TDMA scheme, which is an energy...
A primary criterion of designing wireless sensor networks is energy efficiency. Focused on the energy problem of routing protocol in wireless sensor networks, we must mention to the clustering routing protocol. LEACH is one of the first clustering routing algorithms for sensor networks, and it is able to increase the network lifetime. However, it selects a cluster head based on random probability...
The optimal number of cluster heads is an important parameter of wireless sensor network performance. Network nodes will consume more energy if the number of cluster heads is too much or too little. This paper focuses on novel calculation method for optimal number of cluster heads. Base on the analysis of LEACH energy dissipation model, novel calculation method is derived from the total energy dissipation...
There are two kinds of data collection in wireless sensor network: passive and active. We here propose an adaptive, energy-efficient clustering protocol (AEEC) which is applicable to both passive and active data collection. The proposed protocol selects cluster heads according to the rank of node remaining energy and the number of node neighbors. Unlike traditional clustering protocols, it is an adaptive...
The data fusing ability of cluster head is affected by the correlation of sensed data from different nodes in Wireless Sensor Networks, which are data centered. This paper analyses the influence of regional data correlation on energy efficiency of clustering protocol, and then proposes a data aware clustering for data gathering (DACDG). DACDG uses residual energy and the correction of sensed data...
Wireless sensor networks have the problem of lifetime and scalability. To increase lifetime and scalability itpsilas necessary to have control over topology of the network. Dynamic clustering with adaptive feature is the best way to achieve the above. In this paper we propose a dynamic multilevel hierarchal clustering (DMH) approach for sensor networks. The proposed approach will create a dynamic...
Wireless sensor networks (WSNs) consists of unattended sensors with limited storage, energy (battery power) and computation and communication capabilities. Since battery power is the most crucial resource for sensor nodes, the utility of energy efficient and the maximum lifetime is special important. In this paper, we present an energy-efficient dynamic clustering algorithm(EE-DCA)for wireless sensor...
A wireless sensor network has potential to monitor stimulus around it. Sensor networks have severe energy constraints, low data rate with high redundancy, and many-to-one flows. Thus, data centric mechanisms that perform in-network aggregation of data are needed. Clustering is one of the data centric mechanisms in which various cluster heads perform in-network aggregation of data. Thus, there is more...
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