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Wireless Sensor Network -A Survey

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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.

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Citations
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Journal ArticleDOI

Secure Data Aggregation with Fully Homomorphic Encryption in Large-Scale Wireless Sensor Networks

TL;DR: This paper proposes Fully homomorphic Encryption based Secure data Aggregation (FESA) in LWSNs which can protect end-to-end data confidentiality and support arbitrary aggregation operations over encrypted data and can also verify data integrity during data aggregation and forwarding processes so that false data can be detected as early as possible.
Journal ArticleDOI

Concepts and evolution of research in the field of wireless sensor networks

TL;DR: A comprehensive review of most recent literature of WSNs is presented and open research issues in this field are outlined and revealed according to particularities target applications.
Journal ArticleDOI

Efficient Calculation of Sensor Utility and Sensor Removal in Wireless Sensor Networks for Adaptive Signal Estimation and Beamforming

TL;DR: This paper derives formulas to efficiently calculate all sensor utility measures for four different signal estimation or beamforming algorithms with hardly any increase in memory usage and computational complexity compared to the signal estimation algorithm already in place.
Journal ArticleDOI

Decentralized Estimation Under Correlated Noise

TL;DR: It is shown that knowledge of noise correlation at the sensors will help to improve the system performance, and that when noise at the fusion center is correlated, even with knowing the correlation structure, the systemperformance degrades.
Journal ArticleDOI

A Reliable Energy-Efficient Multi-Level Routing Algorithm for Wireless Sensor Networks Using Fuzzy Petri Nets

TL;DR: A reliable energy-efficient multi-level routing algorithm in wireless sensor networks is proposed which not only balances the energy load of each node but also provides global reliability for the whole network.
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.
Book

Protocols and Architectures for Wireless Sensor Networks

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.