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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...
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...
This work presents a traffic-based, mobility-aware clustering algorithm tailored for application scenarios typical of low data rate IEEE 802.15.4a networks and characterized by a hierarchical network organization. The proposed algorithm adapts to emerging traffic and mobility patterns in the network by selecting as cluster heads nodes that are the intended destinations for a large number of packets,...
In this paper, a novel Uneven Cirque energy-balance Clustering Routing for sensor networks (UCCR) was proposed. UCCR import energy forecasting mechanism, according to the residual energy of node to determine when to re-cluster. Cluster head is chosen based on the residual energy and the relative position. Multi-hop data routing was formed in inter-cluster, routing to build not only consider the energy...
Designing power aware protocols becomes a pre-requisite to conserve energy and extend network life time. In fact, many target applications may require such features when being deployed for long periods in hostile environments, such as rescue or military operations. To assure power saving while preserving network capacity, relaying on a virtual backbone seems a promising approach. Through keeping a...
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...
In wireless sensor networks (WSNs), hierarchical network structures have the advantage of providing scalable and resource efficient solutions. Thus, finding an efficient way to generate clusters is an important topic in WSNs. To achieve this goal, this paper adapts the well-understood hierarchical agglomerative clustering (HAC) algorithm by proposing a distributed HAC (DHAC) algorithm. DHAC provides...
The efficient subdivision of a sensor network into uniform clusters of physically close nodes is an important building block in the design of efficient upper layer network functions such as routing, broadcast, data aggregation, and query processing. This paper analyzes a low energy adaptive clustering hierarchy (LEACH) in terms of the optimum number of clusters and demonstrates through simulation...
Many clustering schemes have been proposed for different ad hoc networks and play an important role in self organizing them. A systematic classification of these clustering schemes enables one to better understand and make improvements. This paper surveys clustering schemes and classifies them into ad hoc sensor network clustering schemes and mobile ad hoc network clustering schemes. In sensor networks,...
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