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Incorporating cognitive radio technology into wire-less sensor networks enables the sensor nodes to use the idle channels to meet their communication demands, but the spectrum sensing process inevitably brings extra energy consumption. Since cognitive sensor nodes are generally low-powered with limited batteries, we consider a novel spectrum sensing scheme with combined clustering and censoring for...
Efficient utilization of sensor energy to prolong the WSN' lifetime is proposed in this paper. A hybrid PSO Genetic sleep scheduling algorithm for WSNs to escape the local optima trap is the focus of this work. The proposed scheme uses a new parameter: Local Optimum Detector (LOD) for switching from PSO to GA algorithm in order to escape to the local optima trap caused by PSO.
In this paper, we concentrate on multi-target fusion and tracking problems in wireless sensor network (WSN) based on distributed clustering consensus filter. In particular, for the sake of the network lifetime and the tracking accuracy in multi-target cases, a distributed target-based clustering algorithm is proposed, which consists of the cluster member selection, the cluster head competition and...
In wireless sensor networks (WSNs), preserving energy requires utmost attention, as they are highly resource constrained. Clustering is commonly considered as one of the efficient energy conservation techniques. In a clustered WSN, due to the nature of operation, cluster heads (CHs) near the sink bear the major share of data forwarding compared with the CHs far away from the sink, resulting in an...
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...
Wireless sensor networks WSNs are exceptional network comprise of network devices in large numbers and spatial circulation. They have different sensing capacity and participate to finish common task. It is seen in writing overview that density grid based clustering in WSN which has enhanced the execution of the WSNs by utilizing the gathering based information aggregation. In any case, no enhancement...
Wireless Sensor Network (WSN) is an emerging application that has proved to be very effective due to its wide application and so has become very prominent various industries and research WSN's life is improved through clustering-based routing. Operation and network life are controlled by a large deployed sensor network whose major characteristic is self-organization and energy efficiency. The area...
Reaching the coverage concern through the least number of sensors has received the most attention, while meeting the design goals through random node distribution is an utmost challenge. The deployment of nodes in deterministic fashion is necessary and often viable when node positions affect considerably their operation or when sensors are expensive, while random nodes' distribution is the only feasible...
Clustering is a hierarchical method to data transmission in wireless sensor networks, which has a considerable effect on energy conservation. A balanced and efficient clustering has an important role in these networks. This paper discusses an optimal clustering method in wireless sensor network. Firstly, by considering energy and distance parameters, we model the clustering problem using two techniques,...
Wireless Sensor Networks (WSNs) constitute a very dynamic research area. The constraints related to deployment, topology, and energy motivates much of the research activities related to the WSNs. In a network of thousands of sensor nodes, routing management and data exchange are expensive in terms of energy consumption and storage capacity. In fact, a sensor needs to store a lot of information to...
Rapid technology evolvement in the area of wireless sensor networks (WSNs) has led to many application-specific protocols that are particularly developed to cover different fields of usage and various network scenarios. Energy efficiency is one of the apparent challenges facing WSNs which has impacted immensely on the network performance. Hence, clustering protocols that eliminate energy inefficiencies...
A wireless sensor network (WSN) composed of a enormous quantity of multifunctional wireless sensor nodes. General Self-Organized Tree-Based Energy-Balance Routing Protocol (GSTEB) is a protocol which is proposed for wireless sensor networks and is used to reduce the entire energy utilization and to balance the wireless sensor networks load. Although GSTEB wants base station to determine the topography,...
Performance of wireless sensor network in several fields has become a key parameter in the research area. Nowadays it is dependent on several factors and energy consumption is one of the important parameter. Various issues regarding the performance of the wireless sensor network (WSN) have been referred, out of which energy efficiency is one of the research issue. In order to monitor the environment...
An important issue of research in wireless sensor networks (WSNs) is to dynamically organize the sensors into a wireless network and route the sensory data from sensors to a sink. Clustering in WSNs is an effective technique for prolonging the network lifetime. In most of the traditional routing in clustered WSNs assumes that there is no obstacle in a field of interest. Although it is not a realistic...
Energy has always been the main issue for wireless sensor networks because in many situations battery recharging or replenishment is not possible. Many solutions have been provided for energy conservation. Clustering protocols have been successful for solving this issue to an extent but are not perfect. In our proposed algorithm we utilize the ability of the sensor nodes to control their transmission...
Due to their intrinsic characteristics, Wireless Sensor Networks (WSN) are prone to failure, mainly because of their energy limitations. Considering this, the use of self-healing mechanisms becomes necessary in order to create a more fault-tolerant and robust WSN. With this problem at hand, we have proposed and developed DACA, a Disjoint path And Clustering Algorithm that increases the network lifetime...
In this paper we present an efficient algorithm for clustering the system wakeups in Wireless Sensor Networks (WSNs), running periodic tasks from multiple heterogeneous sources. The clustering algorithm breaks the overall problem space of a system running periodic tasks in self-consistent sub problems, referred to as clusters, on which the optimal sequence of system wakeups can be found without loss...
The network topologies enhancements are necessary in correspond to the growing of data networks. In this paper, large network problem is described. It includes the routing update cost. The concept of hierarchical network is explained as a considered solution. The hierarchical routing algorithms working methodology and protocols are presented and compared. In addition, it provides a sufficient description...
The advent and development in the field of Wireless Sensor Networks (WSNs) in recent years has seen the growth of extremely small and low-cost sensors that possess sensing, signal processing and wireless communication capabilities. These sensors can be expended at a much lower cost and are capable of detecting conditions such as temperature, sound, security or any other system. A good protocol design...
Wireless sensor nodes are battery-powered communication devices. Their limited capabilities have imposed various constraints to the system design of wireless sensor networks (WSNs). These constraints are interrelated, and are usually in conflict with each other. Clustering is often used to reduce energy consumption in WSNs. However, an arbitrary selection of clustering parameters may lead to severe...
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