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A Wireless Sensor Network consists of enormous amount of sensor nodes. These sensor nodes sense the information from the sensing region and transmit to the sink. From the sink a client can access the required information. Essential part of the wireless sensor network is the sensor nodes that are driven with the batteries. Prolonging the network lifetime is very difficult and expensive in many conditions...
It is widely known that the process and performance of data aggregation in wireless sensor network is dependent on the effectiveness of clustering mechanism. However, existing research work towards clustering mechanism has been found to focus on selection on cluster-head majorly on the basis on energy. This is the prime reason for which the energy effectiveness has not completely been achieved in...
Maximizing network lifetime is a major objective for designing and deploying a wireless sensor network. Clustering sensor nodes is an effective topology control approach helping achieve this goal. In this paper, we present a new method to prolong the network lifetime based on the improved particle swarm optimization algorithm, which is an optimization method designed to select target nodes. The protocol...
Energy efficient clustering has gained enormous attention in wireless sensor networks (WSNs) in the last few decades. In clustered WSNs, cluster heads (CHs) bear some additional load such as data sensing, data aggregation and sending data to base station. However, improper formation of clusters can overload some CHs and resulting higher energy consumption that may lead to deaths of such CHs. Load...
Wireless sensor network is one of the emerging technologies in wireless networks and communication. WSN composed of large number of small sensors which senses the physical situations occurred in the environment. For WSNs, energy efficiency is the main challenge and to create efficient networks, sophisticated routing algorithms are designed. Clustering algorithm is one of technique used in WSN to minimize...
Wireless sensor networks (WSNs) usually consist of small cheap sensors and they are extensively used for many applications including environment monitoring. In this paper, we focus on the problem that node density in a randomly deployed WSN differs region by region. In other words, sensor nodes are deployed non-uniformly over the network. Such a non-uniform topology makes clustering protocols less...
Energy-efficient routing is a critical problem in multihop wireless networks due to the severe power constraint of wireless nodes, the research on routing algorithm is pivotal in the architecture of wireless sensor networks. This paper analyzes the implementation and existing issues in LEACH. Specifically for node energy and the network lifetime, it proposes an energy-efficient routing algorithm based...
Energy is one of most critical resources in wireless sensor networks. Clustering is an effective method to reduce energy consumption of sensor nodes. In this paper we propose a cell base clustering algorithm. The target field is divided into small non-overlapping cells. Sensor node set in each cell is a cluster. The size of cell is well selected so that any node in adjacent cell can communicate with...
Network scalability and energy efficiency in wireless sensor networks should be supported by elaborate topology control. Clustering algorithms are useful topology management approach to reduce communication overhead and exploit data aggregation in wireless sensor networks. A clustering algorithm based on cell combination is presented in the paper for the networks where sensor nodes are distributed...
For monitoring burst events in a kind of reactive wireless sensor networks (WSNs), a novel scheme of dynamic clustering routing algorithm (DCRA) based on support degree is proposed. The new approach lets sensors decide whether become a clusterhead (CH) according to the support degree coming from neighbors. Unlike traditional distributed clustering algorithms, DCRA combines energy, load balancing and...
The wireless sensor network is an autonomous collection of sensors which makes a simple, high speed and inexpensive network. These kinds of network are able to monitor a parameter where the coverage is impossible via wired networks. Since, the sensors in wireless networks are equipped with batteries, these networks are energy constrained and clustering approaches play an important role in energy efficiency...
Clustering sensor nodes is an effective technique to prolong the lifetime of wireless sensor networks. In this paper we investigate the impact of heterogeneity of nodes, in terms of their energy and data amount, and propose a novel adaptive, distributed, energy efficient clustering algorithm AEEC for wireless sensor networks, which better suits the heterogeneous sensor networks. Our approach elects...
Clustering is a promising technique for prolonging network lifetime and improving functionality of a wireless sensor network. It achieves high energy efficiency by utilizing multihop mode communication among clusters.However, relay clusters die much earlier than other cluster, because of unequal burden. As a consequence,network lifetime is significantly decreased. To mitigate this problem, rotation...
Clustering is an effective approach to enhance performance in large-scale wireless sensor networks. SMCA (small-world model based clustering algorithm), a new clustering algorithm for wireless sensor networks is proposed in this paper, with high clustering coefficient and fault-tolerant properties. SMCA selectively remove some links in a virtual way by the analysis of the edges' clustering coefficient...
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