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The article presents an analysis of correlation-based clustering procedure in cooperative spectrum sensing. The motivation is to assess if it is more beneficial in terms of energy efficiency to group nodes according to the received signal-to-noise ratio (SNR) on the link between Primary User and node or according to the distance between nodes. To this end, a merged clustering measure is introduced...
WSN(Wireless sensor network) depicted as an emerging technology, with its potential applications in the field of territory monitoring and industrial applications. The sensors employed in the surrounding environment will monitor the physical attribute changes such as temperature, humidity, etc. and makes notice of the data being gathered and delivers the gathered information to the (BS) base station...
Clustering of nodes in Wireless Sensor Networks is a problem of concern for many researchers. The major challenge is to propose an algorithm which can optimize the values of various performance parameters like packet delivery ratio and network lifetime of a node in the network. This paper shows an implementation of firefly algorithm to perform clustering in wireless sensor networks. Simulation results...
In WSN there is always a scope of improvement in efficient energy utilization, network lifetime. Efficient energy utilization always seems to be an important aspect in WSN's. Because of the fact that energy consumption directly effect the overall performance of WSN. Numbers of protocols are designed for enhancement of network lifetime and prevent the batteries from earlier drainage. Most of the protocols...
The limited battery supply of a sensor node is one of the most important factors that limit the lifetime of the WSNs. As a consequence, increasing the lifetime of WSNs through energy efficient mechanisms has become a challenging research area. Previous studies have shown that instead of implementing direct transmission or multi-hop routing, clustering can significantly improve the total energy dissipation...
The wireless sensor networks (WSNs) are among most widely used technology that can change the future. Improvement in WSN has made to replace thousands of wires connected to medical devices used in hospitals and providing mobility and reliability. The lifetime of the sensor network is less because the sensor nodes run on batteries which must be efficiently utilized. Many protocols do not take route...
Secure data transmission is a critical issue for Clustering (WSNs). Clustering is one of the techniques used to manage data exchange amongst interacting nodes. Each group of nodes has one or more elected Cluster head(s), where all Cluster heads are interconnected for forming a communication backbone to transmit data. Moreover, Cluster heads should be capable of sustaining communication with limited...
Wireless sensor networks are composed of a large number of sensor nodes with limited energy resources. One critical issue in wireless sensor networks is how to gather sensed information in an energy efficient way since the energy is limited. The clustering algorithm is a technique used to reduce energy consumption. It can improve the scalability and lifetime of wireless sensor network. In this paper...
In this paper we present a distributed self organizing trust based clustering framework for securing ad hoc networks. The mobile nodes are vulnerable to security attacks, so ensuring the security of the network is essential. To enhance security, it is important to evaluate the trustworthiness of nodes without depending on central authorities. In our proposal the evidence of trustworthiness is captured...
Energy of sensor nodes is scarce resource in wireless sensor network. It is vital to reduce energy consumption to improve lifetime of wireless sensor network. A proficient way to improve lifetime is to partition sensor network into groups called cluster with high energy node acting as leader of the cluster called cluster head. Cluster head is responsible for managing intra-cluster and inter cluster...
Heterogeneous Sensor Networks are more powerful and efficient than homogeneous sensor networks. It has been shown that homogeneous sensor networks perform poorly because of routine limits and scalability. In our research, we consider to use heterogeneous topology to securely route data in a wireless sensor network. The given area of interest is initially partitioned into Voronoi clusters, where low-end...
Heterogeneous Sensor Networks are more powerful and efficient than homogeneous sensor networks. It has been shown that homogeneous sensor networks perform poorly because of routine limits and scalability. In our research, we consider to use heterogeneous topology to securely route data in a wireless sensor network. The given area of interest is initially partitioned into Voronoi clusters, where low-end...
Wireless Sensor Networks (WSNs) play a crucial role in this communication era because they have the ability to real time monitoring and controlling the physical environment from remote locations. Though networked sensors has the advantage to improve the accuracy of information obtained from the network by proper coordination and collaboration between sensors, communicating information between the...
Clustering is a good method to increase WSN lifetime and particularly for smart environment. In this paper, we present fuzzy position based routing for clustered sensor network. It is very useful for the smart environment applications of wireless sensor network without GPS support. The destinations could be located with ambiguous position vectors, and the long time and energy consumption of requesting/replying...
One of the most important design criteria for wireless sensor networks (WSNs) is energy efficiency. Clustering provides an effective way for extending the lifetime of the network. In this paper, we propose a double cluster-heads clustering algorithm using particle swarm optimization (PSO-DH). The algorithm generates two cluster heads. The election of the master cluster-head and the vice cluster-head...
In recent years, energy consumption has been a critical constraint in wireless sensor networks (WSNs) and their applications. Target tracking is one of the most important of these applications. Using prediction-based methods for target tracking in WSNs, can improve energy consumption highly in these networks. Prediction-based methods, with prediction the target trajectory and its next location, only...
One of the most important problems in wireless sensor network is to develop a routing protocol that has energy efficiency. In wireless sensor networking, power consumption is important aspect. Therefore it is essential to have routing protocols be designed with energy saving in mind. Energy saving, energy efficiency, energy balance are important technologies to prolong service life of wireless sensor...
Aiming at the bad distribution uniformity of traditional clustering algorithm (LEACH algorithm) in wireless sensor networks, the cluster head node within the cluster is the provider of services, and the algorithm does not consider the process of service failure (link failure, and so on), according to the greatest expectations of coverage principle, we put forward the MEXCLP algorithm for clustering,...
Clustering problem is one of the hottest issues in wireless sensor networks (WSNs). The strategy for selection of cluster head has not been sufficiently investigated. In this paper, we propose a hormone-based clustering algorithm (HCA) inspired by the communication mechanism of bio-endocrine system to prolong the lifetime of the sensor nodes. Two kinds of hormones, cluster hormone and member hormone,...
Requiring all the nodes in a large-scale wireless sensor network to communicate their data to their respective destination will deplete the energy of the nodes quickly due to the long-distance and multi-hop nature of the communication and will also results in network contention. Therefore to increase longevity and support scalability, nodes are often grouped into disjoint and mostly non-overlapping...
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