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Data gathering by leveraging Sink's mobility in large-scale Wireless Sensor Networks (wsns) has drawn substantial interest in recent years. Challenge is to collect data in wsns through optimized network performance. Current researchers focus on how to minimize the energy of sensor nodes to help improve the lifetime of the node. Identifying mobile sink's moving trajectory in advance is cumbersome process...
In wireless sensor networks data gathering is very important task. Nowadays analysis has been targeted on decreasing the energy consumption of the WSN. To solve this drawback the conception of movable sink is presented. In this approach mobile sink gather the inform the static sensors of the network and transfer it to base station. For efficiently gather the data sink's mobility pattern should be...
The number of cluster heads (CH) has significant effects on the way in which the network performs, the connectivity it achieves, and the constricting cost. Hence, the selection of a suitable number of cluster head nodes represents a form of an optimization problem. The cross-layer optimization technique is considered in this paper, to select the best number of CH nodes. Cross-layer optimization studies...
Compressive sensing (CS) can reduce the energy consumption and balance the traffic load throughout the wireless sensor networks (WSN). Due to the fault tolerance and traffic load balancing of the clustering method, CS is always combined with clustering for further improvement. And hexagon clustering has some advantages over other clustering methods such as its special structure. However, the total...
Since the node's energy is limited in wireless sensor networks (WSNs), therefore, designing efficient routing is important for reducing energy consumption. This paper proposed improving the Packet Reception Ratio of Grid based Routing Protocol (IPRRGRP) for WSNs. In this paper, the proposed work can save energy & endow with the finest path to route the data according to the possibility of more...
The operations of smart metering heavily rely on the communication network for efficient data gathering, thus eliminating manual meter reading. Smart electronic devices are deployed in open, unattended and possibly hostile environment such as consumer's home and office areas, making them particularly vulnerable to physical attacks. Resilience is needed to mitigate such inherent vulnerabilities and...
Uniform load distribution is a major challenging area in wireless sensor networks. Sink mobility strategy achieves great success in uniform load distribution policy. In optimal sink mobility scheme, main problem is optimal path construction for sink movement with minimum message overhead. This paper reports an optimal path construction strategy for mobile sinks movement in wireless sensor network...
In wireless heterogeneous sensor networks (WHSN), since there are applications with various requirements, different capacity sensors are used. To design efficient, scalable routing protocol with asymmetric links and with data sinks mobility for gathering the data is a challenging task and drawn substantial interests in recent years. In this paper, EEADR protocol is proposed. It makes use of asymmetric...
Wireless sensor networks (WSNs) are widely used for monitoring physical phenomena of interest, but one of the major challenges for designing sensor networks is to minimize transmission cost with obtaining fidelity information in the sink. Distributed compressive sensing (CS) is a promising in-network data compression technique to reduce data transmission cost and accurately recover sensory data in...
Direct reporting, partial nodes selection and compressive sensing are three common types of data gathering in wireless sensor networks. Integrating the above three techniques together for a better performance has been paid many attentions. Hybrid-CS is an effective way to save energy for data gathering, which adopts direct reporting method instead of compressive sensing in the area near the leaf nodes...
Data gathering is one of the most basic applications of wireless sensor networks. How to effectively preserve the energy of the nodes in order to extend the network lifetime is a challenging problem in data gathering. Currently, many researches focus on constructing a virtual backbone of the network by using minimum connected dominating sets. Each node in the network can transmit its data to the sink...
Data gathering is a basic function in wireless sensor networks (WSNs). With the energy constrained nature of the wireless sensor nodes, energy-efficient routing algorithms need to be carefully designed before wireless sensor networks are widely deployed for data gathering. This article proposed an energy-efficient cluster routing algorithm (ECRA) for data gathering in wireless sensor networks. Firstly,...
Wireless sensor networks (WSNs), now-a-days, are deployed in environmental data collection as well as in critical event monitoring. Successful data collection requires reliability while reliable event detection necessitates timeliness. Simultaneous data gathering and event monitoring is not well studied in literature. In this paper, we propose a system model that works on homogeneous data gathering...
Wireless Sensor and Actuator Networks (WS&AN) currently face their actual deployment challenges. Simple point-to-point RF communications metrics remain focused on active modes peak power consumption and communication duty cycles. But, once RF links have to set themselves into mesh networks, complex interactions between RF nodes arise and various metrics must be taken into account. Here starts...
In this paper we investigate the problem of gathering the data in wireless sensor network using a single Mobile Element. In particular we consider the case where the data are produced by measurements and they need to be delivered to a predefined sink within a given time interval from the time the measurement takes place. A mobile element travels the network in predefined paths, collect the data from...
For saving energy and balancing the energy load among nodes, an energy-efficient data gathering algorithm (EDGA) based on clustering is proposed in this paper, which is used to gather data in wireless sensor networks. Firstly, the nodes compete for becoming a clusterhead according to residual energy and the distribution of neighbor nodes. Secondly, the clusterhead selects the active nodes according...
Wireless Sensor Network is a collection of micro sensors which are gathering data in various situations from monitoring environment and transmitting it to base station. The most important challenging issue in wireless sensor network is energy conservation. The communication process must be designed such a way that it can conserve the limited energy resources of the sensors. In this paper we are proposing...
The use of Wireless Sensor Networks (WSN) is anticipated to bring lot of changes in data gathering, processing and dissemination for different environments and applications. Energy consumption is the most crucial design issue in WSN. In order to solve the issue and prolong the network lifetime, energy resources of each node in WSN need to be effectively managed. With respect to energy efficiency,...
Delay Tolerant Mobile Sensor Network (DTMSN) is the network for pervasive information gathering. Traditional data information gathering approaches may not fit for DTMSN for its intermittent connectivity. This paper proposes an Activity Based Data gathering protocol (ABD). In DTMSN, activity of different sensors may vary since they are attached to different entities, the message replicated by the active...
In WSN, sensors near the sink have to relay the data of the nodes away from the sink and as a result they drain their energy very quickly. It result in network partitioning and can significantly limit the network lifetime. This problem is termed as hotspot problem. Recently, formation of hot spot or energy hole near the sink has emerged as a critical issue for data gathering in WSN. In this paper,...
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