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Wireless Sensor Network -A Survey
Nirvika Chouhan,Rekha Jain +1 more
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TLDR
In this paper, various issues are discussed that actually put the limitations in the well working and the life time of the network.Abstract:
Wireless sensor networks are the networks consisting of large number of small and tiny sensor nodes. The nodes are supplied with limited power, memory and other resources and perform in-network processing. In this paper, various issues are discussed that actually put the limitations in the well working and the life time of the network. In Wireless sensor network, nodes should consume less power, memory and so data aggregation should be performed. Security is another aspect which should be present in the network. Quality of service, routing, medium access schemes all are considered in designing the protocols.read more
Citations
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Proceedings ArticleDOI
An energy efficient and optimal randomized clustering for wireless sensor networks
TL;DR: An energy efficient and optimal randomized clustering protocol for self-organizing WSNs by employing a new approach for setting threshold value, including the probability of optimum number of cluster-heads and residual energy of the nodes.
Proceedings ArticleDOI
Protecting bridges: Reorganizing sensor networks after catastrophic events
Ladislau Bölöni,Damla Turgut +1 more
TL;DR: The worst case scenario for the life cycle of a sensor network is the fragmentation of a network which still has many functional and well-powered nodes, but the loss of connectivity renders even the functional nodes useless as the nodes are not able to transmit their observations to the sink.
Journal ArticleDOI
A Geometric Transversals Approach to Analyzing the Probability of Track Detection for Maneuvering Targets
Hongchuan Wei,Silvia Ferrari +1 more
TL;DR: A geometric transversals approach for representing the probability of track detection by multiple, distributed sensors, as a function of the Markov model transition probabilities, and results show that the optimal sensor placements obtained by this geometric transVersals approach significantly outperform greedy, grid, or randomized sensor deployments.
Proceedings ArticleDOI
Distributed spatial-temporal compressive data gathering for large-scale WSNs
TL;DR: This paper proposes a distributed spatial-temporal compressive data gathering scheme for large-scale WSNs to improve the recovery quality of sensory data and prolong the sensor network's lifetime as well.
Journal ArticleDOI
Node Deployment with k-Connectivity in Sensor Networks for Crop Information Full Coverage Monitoring
TL;DR: A new WSN deployment method using a genetic algorithm (GA) is here proposed, which showed that both WSNs gave full coverage, there were no communication silos, and the minimum connectivity of nodes was equal to k.
References
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Journal ArticleDOI
Wireless sensor networks: a survey
TL;DR: The concept of sensor networks which has been made viable by the convergence of micro-electro-mechanical systems technology, wireless communications and digital electronics is described.
BookDOI
Protocols and Architectures for Wireless Sensor Networks: Karl/Protocols and Architectures for Wireless Sensor Networks
Holger Karl,Andreas Willig +1 more
Book
Protocols and Architectures for Wireless Sensor Networks
Holger Karl,Andreas Willig +1 more
TL;DR: This book discusses the design principles for wireless sensor networks, and the many faces of forwarding and routing, and some of the approaches to combining hierarchical topologies and power control used in these networks.
Journal ArticleDOI
MAC protocols for wireless sensor networks: a survey
TL;DR: The sensor network properties that are crucial for the design of MAC layer protocols are outlined and several MAC protocols proposed for sensor networks are described, emphasizing their strengths and weaknesses.
Journal ArticleDOI
Data-aggregation techniques in sensor networks: a survey
TL;DR: This article presents a survey of data-aggregation algorithms in wireless sensor networks and compares and contrast different algorithms on the basis of performance measures such as lifetime, latency, and data accuracy.