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Energy hole is regarded as one of the challenging issues in wireless sensor networks (WSNs). According to this problem, nodes that are closer to the sink lose their energy earlier than other nodes. Consequently, it leads to the early breakdown of the network. One approach for preventing this problem is to use mobile sink rather than one or more sinks with fixed positions. Also, using fuzzy logic and...
In recent decades, the significant expansion and popularity of wireless sensor networks in various applications have attracted the attention of many researchers. Energy and security restrictions are main challenges for the researchers. The application of these networks in inaccessible and dangerous environments and wireless communications between nodes have led them to be subjected to direct attacks;...
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.
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...
Large scale monitoring systems require reliable and efficient routing protocols used to overcome the limitations introduced by battery operated embedded devices, among which, energy consumption is considered the main concern. This topic has gained a lot of interest in the last decade. Due to numerous advantages, clustering is becoming more prevalent as a routing technology in WSN. This paper describes...
Wireless Sensor Networks (WSN) have gained worldwide attention in recent years, particularly with which has facilitated the development of smart sensors. WSN consists of small nodes with sensing, computation and wireless communication capabilities. In WSN, clustering is used as an effective technique to achieve scalability, self-organization, power saving, channel access, routing etc. Lifetime of...
Wireless sensor networks (WSNs) have wide applications in environmental monitoring fields. Many algorithms were proposed for efficient information gathering. Especially the cluster based routing schemes are getting attention due to their energy efficiency. But in most of the clustering schemes, the base station (BS) which is used to gather the information is assumed to be located far from the field...
Linear Wireless Sensor Networks (LWSN) are a sub-case of Wireless Sensor Networks where nodes are roughly located through multiple lines. They can be used to monitor many real-life infrastructure — e.g. roads, pipelines-or natural entities such as rivers. Classical network solutions are mostly inefficient on LWSN because these topologies — a tree with very long branches-are often a worst-case scenario...
Designing and practical implementation of energy efficient routing protocol is always a major concern for researchers in Wireless Sensor Networks (WSNs). In the past decade various energy efficient clustering routing protocols are designed to overcome this issue. Clustered base path planning technique is widely used in both homogeneous and heterogeneous WSNs. Existing techniques are based on direct...
With limited battery power of nodes, communication energy consumption is the main factor to affect the lifetime of wireless sensor networks. It is of great significance to design a communication protocol to prolong the lifetime of the networks. In this paper, an energy-efficient LEACH algorithm for wireless sensor networks is proposed, which takes the energy and position factors of each node into...
Applying cognitive radio capabilities in wireless sensor networks introduce a new paradigm called Cognitive Radio Sensor Network (CRSN). CRSN enables the sensor nodes as the secondary users to operate on the less crowded frequency bands and access the vacant channels within a frequency band originally licensed to a primary user. In CRSN, the clustering and data routing algorithms used in traditional...
A wireless sensor network (WSN) is composed of power-limited devices with constraints of size and condition etc. Due to impossibility to recharge or to replace the batteries of sensors, power control becomes a challenging issue in a WSN. To prolong the network lifetime, clustering is one of viable approaches. Among the clustering approaches, static clustering avoids the energy consumption in periodical...
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...
Aiming at the problem that the cluster head node is easy to cause misdiagnosis in the LEACH-DFD algorithm and the uneven energy consumption of nodes is easy to occur in sensor networks, a novel fault diagnosis algorithm for sensor networks based on clustering and double neighborhood median (CDMFD) is proposed in this paper. The algorithm introduces an energy-efficient clustering algorithm for clustering...
Advance clustering techniques have been widely used in Wireless Sensor Networks (WSNs) since they can potentially reduce latency, improve scheduling, decrease end-to-end delay and optimise energy consumption within a dense network topology. In this paper, we present a novel clustering algorithm for high density IEEE 802.15.4-2015 Time-Slotted Channel Hopping (TSCH). In particular, the proposed methodology...
This article analyses the primary design goals and challenges for routing protocols in wireless sensor networks. And it discuss various routing strategies and describe some important routing protocols. Finally, the article concludes with evaluation methods that are capable of effectively managing the trade-off between optimality and efficiency.
Aiming at the problem that the node energy is limited, the network cycle is short and the throughput is low in the wireless sensor network, Dynamic Routing Protocol Based on Clustering was proposed known as KACO (K-means and Ant Colony Optimal). At the beginning it employs ant colony optimal and k-means algorithm to form cluster, and the novel method which consider the energy ratio, node location...
Studies of clustering in Wireless Sensor Networks (WSNs) usually tackle the problems of designing new algorithms and compare them based on a set of properties (e.g. energy efficiency, scalability), lacking the understanding of the underlying mechanisms and communication patterns that lead to these properties. Our approach tackles this lack of understanding by applying techniques developed by complex...
In order to extend the lifetime of wireless sensor networks, many approaches have been done dividing the network into clusters, gathering data from nodes and aggregating them to the base station. Some of the clustering algorithms consider the residual energy of the nodes in the selection of the cluster heads and others rotate the selection of cluster heads periodically. However, they rarely study...
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