Speeding Up Exact Algorithms for Maximizing Lifetime of WSNs Using Multiple Cores

Joint Authors

Cao, Pengyuan
Zhu, Xiaojun

Source

Wireless Communications and Mobile Computing

Issue

Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-12, 12 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2018-06-05

Country of Publication

Egypt

No. of Pages

12

Main Subjects

Information Technology and Computer Science

Abstract EN

Maximizing the lifetime of wireless sensor networks is NP-hard, and existing exact algorithms run in exponential time.

These algorithms implicitly use only one CPU core.

In this work, we propose to use multiple CPU cores to speed up the computation.

The key is to decompose the problem into independent subproblems and then solve them on different cores simultaneously.

We propose three decomposition approaches.

Two of them are based on the notion that a tree does not contain cycles, and the third is based on the notion that, in any tree, a node has at most one parent.

Simulations on an 8-core desktop computer show that our approach can speed up existing algorithms significantly.

American Psychological Association (APA)

Cao, Pengyuan& Zhu, Xiaojun. 2018. Speeding Up Exact Algorithms for Maximizing Lifetime of WSNs Using Multiple Cores. Wireless Communications and Mobile Computing،Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1215987

Modern Language Association (MLA)

Cao, Pengyuan& Zhu, Xiaojun. Speeding Up Exact Algorithms for Maximizing Lifetime of WSNs Using Multiple Cores. Wireless Communications and Mobile Computing No. 2018 (2018), pp.1-12.
https://search.emarefa.net/detail/BIM-1215987

American Medical Association (AMA)

Cao, Pengyuan& Zhu, Xiaojun. Speeding Up Exact Algorithms for Maximizing Lifetime of WSNs Using Multiple Cores. Wireless Communications and Mobile Computing. 2018. Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1215987

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1215987