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Energy remains a major hurdle in running computation-intensive tasks on wireless sensors. Recent efforts have been made to employ a Mobile Charger (MC) to deliver wireless power to sensors, which provides a promising solution to the energy problem. Most of previous works in this area aim at maintaining perpetual network operation at the expense of high operating cost of MC. In the meanwhile, it is...
Clustering is one of the most useful methods for data gathering in distributed wireless sensor networks (WSNs). In additions, sensors in such environment are energy constrained and generate the huge amount of data due to redundant data transmission and thus reducing lifetime of networks. Moreover, there is need to use efficient clustering techniques for collecting relevant data from nodes to eliminate...
Collecting data from a large wireless sensor network (WSN) is a challenging issue and there are mainly two approaches to increase the efficiency: by hierarchical routing based on node clustering and by mobile elements (MEs). Since either method has pros and cons, this paper presents a hybrid approach, called Node Density based Clustering and Multiple Mobile Collection (NDCMMC), to combine the hierarchical...
With the ongoing system miniaturization, sensors capabilities and cost reduction, a new opportunities are created to accomplish data reduction and sensors fusion on small systems. This is the case for Unmanned Aerial Vehicles and the interest that they generate in applying this technology in remote sensing and data gathering in a wide wireless network. In another hand, it is clear that the use of...
In this paper, we present need-based clustering (NbC) with dynamic sink mobility (DSM-NbC) scheme for WSNs using a collaborative compressed sensing approach. The scheme incorporates dynamic sink mobility in a way that mobile sink moves from dense regions towards sparse regions. Intelligently moving the sink to high density regions ensure maximum collection of data. As more number of nodes are able...
Detection of landmarks in mobile sink environment which is generally used to improve the network lifetime is an important problem in WSN. In this paper, a method is proposed to trace the landmarks in a network leading to energy-efficient networks. The algorithm for clustering and landmarks tracing proposed herein uses the concept of random walks on graphs. The proposed method comprises of two phases...
In this paper, we propose LEACH-CCH as a clustering algorithm aimed at improving wireless sensor network lifetime in the case of mobile sensor nodes. LEACH-CCH is a modification of the LEACH algorithm, which was developed for stationary networks. An analysis of energy consumption for the LEACH algorithm is presented to identify which data transmissions are most energy expensive for a node throughout...
A wireless sensor network (WSN) is a collection of spatially distributed autonomous sensor nodes that can be used to monitor, among other things, environmental conditions. WSN sensor nodes are constrained by their limited energy supply, communication range and local computational capabilities. Data routing is an area that can be optimized to allow nodes to conserve energy, improving the network's...
Wireless sensor network (WSN) is the interconnection of wireless nodes with limited energy and memory. These networks can be deployed for many critical applications like military operations, rescue management, fire detection and so on. In flat routing structure every node plays equal role of sensor and a router. The topology may change very frequently due to the mobile nature of nodes in WSNs. Maintaining...
Wireless Sensor Networks (WSNs) is a group of small sensor nodes having limited computation, memory, communication and sensing capabilities. The distributed nature and dynamic topology of WSN introduces very special requirements in conserving energy and providing security. To address these challenges, technique like secure and energy efficient clustering scheme with data aggregation has been developed...
Recently, research on wireless sensor networks (WSNs) has received a lot of attention because they offer an advantage of monitoring various kind of environment. The management of sensors' energy is a very important problem in wireless sensor network. Research has shown a significant contribution to increase the network lifetime and improve its performance is due to energy conservation. The goal of...
In wireless sensor networks, the limitation of energy and cache space of nodes around the base station, as well as the multi-hop transmission instability will seriously interfere the performance of traditional data collection protocols. To address this problem, a data collection mechanism by using mobile base station is proposed. Firstly, a new clustering algorithm-Time High-Overflow-Based Dominating...
Mobile sensors are expected to play a significant role in the next generation Internet of Things (IoT) networks, with sensors in vehicles, drones, robots and more. These mobile sensors participate in data gathering for various application scenarios. Some applications are information intensive in that huge chunks of data are required in order to make informative decisions. However, mobility in Wireless...
Ensuring connectivity among mobile nodes is significantly important to the success of many critical applications, like military, where the loss of connectivity can lead to the failure of the mission and also proved to be challenging in particular when mobiles nodes have heterogeneous mobility pattern i.e., they are moving in several directions at different speeds. In this paper, we propose a new Heterogonous...
Big Data represents large amount of data which have high velocity and high variety. Contribution towards the big data increases, as the technology develops. Wireless sensor networks are considered as the main contributor of big data. Hence collecting large amount data or big data from sensor nodes is an important concern in the field of information and communication technology. Mobile sink approach...
To collect data from large-scale wireless sensor networks (WSNs) is a challenging issue and there are mainly two approaches to increase the efficiency: 1) by hierarchical routing based on node clustering and 2) by mobile elements (MEs). Since either method has pros and cons, this paper presents a hybrid approach, called node-density-based clustering and mobile collection (NDCMC), to combine the hierarchical...
Wireless sensor networks (WSN) consist of large number of sensor nodes. These small and low cost sensor nodes are deployed in monitoring region of interest. Since sensors perform multiple functions such as data gathering and data transmission results in energy depletion, these effects the network lifetime. The nodes having tendency to fail due to energy depletion is the critical issue in WSN. Due...
With the quick advancement of the Internet, wireless communications have gotten remarkable consideration. Wireless sensor systems are outfitted with minor, essential batteries and along these lines it is important to plan vitality effective calculations to draw out the system lifetime. In remote sensor systems (WSNs), the sink versatility along an obliged mode can enhance the vitality proficiency...
Sink mobility has attracted much research interest in recent years because it can improve network performance such as prolonging network lifetime. In this paper, we consider the problem of prolonging network lifetime by employing a mobile sink for data gathering subject to a specified tolerant delay. To achieve that, we proposed a novel heuristic algorithm for finding a trajectory of the sink that...
In the process of data collection of large-scale delay tolerant mobile wireless sensor networks (MWSN), in order to reduce the energy consumption of sensor network data transmission, time consuming and low efficiency problems, a data fusion algorithm for mobile wireless sensor networks based on improved RBF neural network is proposed. The data fusion model is introduced into the RBF neural network...
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