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Journal ArticleDOI

An application-specific protocol architecture for wireless microsensor networks

TLDR
This work develops and analyzes low-energy adaptive clustering hierarchy (LEACH), a protocol architecture for microsensor networks that combines the ideas of energy-efficient cluster-based routing and media access together with application-specific data aggregation to achieve good performance in terms of system lifetime, latency, and application-perceived quality.
Abstract
Networking together hundreds or thousands of cheap microsensor nodes allows users to accurately monitor a remote environment by intelligently combining the data from the individual nodes. These networks require robust wireless communication protocols that are energy efficient and provide low latency. We develop and analyze low-energy adaptive clustering hierarchy (LEACH), a protocol architecture for microsensor networks that combines the ideas of energy-efficient cluster-based routing and media access together with application-specific data aggregation to achieve good performance in terms of system lifetime, latency, and application-perceived quality. LEACH includes a new, distributed cluster formation technique that enables self-organization of large numbers of nodes, algorithms for adapting clusters and rotating cluster head positions to evenly distribute the energy load among all the nodes, and techniques to enable distributed signal processing to save communication resources. Our results show that LEACH can improve system lifetime by an order of magnitude compared with general-purpose multihop approaches.

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Citations
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Journal ArticleDOI

HEED: a hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks

TL;DR: It is proved that, with appropriate bounds on node density and intracluster and intercluster transmission ranges, HEED can asymptotically almost surely guarantee connectivity of clustered networks.
Journal ArticleDOI

A survey on clustering algorithms for wireless sensor networks

TL;DR: A taxonomy and general classification of published clustering schemes for WSNs is presented, highlighting their objectives, features, complexity, etc and comparing of these clustering algorithms based on metrics such as convergence rate, cluster stability, cluster overlapping, location-awareness and support for node mobility.
Journal ArticleDOI

Energy-constrained modulation optimization

TL;DR: It is shown that up to 80% energy savings is achievable over nonoptimized systems and that the benefit of coding varies with the transmission distance and the underlying modulation schemes.

SEP: A Stable Election Protocol for clustered heterogeneous wireless sensor networks

TL;DR: This work proposes SEP, a heterogeneous-aware protocol to prolong the time interval before the death of the first node (the authors refer to as stability period), which is crucial for many applications where the feedback from the sensor network must be reliable.
Proceedings ArticleDOI

Distributed clustering in ad-hoc sensor networks: a hybrid, energy-efficient approach

TL;DR: A protocol is presented, HEED (hybrid energy-efficient distributed clustering), that periodically selects cluster heads according to a hybrid of their residual energy and a secondary parameter, such as node proximity to its neighbors or node degree, which outperforms weight-based clustering protocols in terms of several cluster characteristics.
References
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Book

Routing in the Internet

TL;DR: This paper presents an introduction to Routing in the Internet, focusing on RIP and OSPF and the Structure of Interconnections, and the structure of Multicast Routing.
Book

Sensor and Data Fusion Concepts and Applications

TL;DR: Multiple Sensor System Applications, Benefits, and Atmospheric Attenuation Data Fusion Algorithms and Architectures Bayesian Inference Dempster-Shafer Algorithm Artificial Neural Networks Voting Fusion Fuzzy Logic and Neural Networks Passive Data Association Techniques for Unambiguous Location of Targets.
Proceedings ArticleDOI

Design considerations for distributed microsensor systems

TL;DR: In this paper, the authors address some of the key design considerations for future microsensor systems including the network protocols required for collaborative sensing and information distribution, system partitioning considering computation and communication costs, low energy electronics, power system design and energy harvesting techniques.
Proceedings ArticleDOI

Exact and approximation algorithms for clustering

TL;DR: An n^ O(k1-1/d) -time algorithm for solving the k -center problem in \realsd , under L∈fty - and L2 -metrics and extends to other metrics, and to the discrete k - center problem.
Journal ArticleDOI

High-rate punctured convolutional codes for Viterbi and sequential decoding

TL;DR: An investigation is conducted of the high-rate punctured convolutional codes suitable for Viterbi and sequential decoding of known short-memory codes.
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