A Novel Linear Programming Optimization Coverage Scheme Based on Probability model

DOI

10.2991/icmmcce-17.2017.194How to use a DOI?

Keywords

Wireless sensor network; Coverage rate; Redundancy; Probabilistic model; Network lifetime

Abstract

In this paper, we present an optimized coverage algorithm based on dynamic parameter model.Through the definition of dynamic parameter coverage model, the expected value and tolerance of the coverage of the sensor nodes and the expected value formula for the first coverage of the target node are given. In the aspect of network energy, the communication path is optimized by the node state scheduling strategy, so that the energy matching of sensor nodes is effectively realized, and the energy consumption of sensor nodes is suppressed. Simulation results show that the proposed algorithm can not only improve the coverage and QoS of the network, but also effectively reduce the network energy overhead and prolong the network lifetime.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Ya-ning Yan
AU  - Jing Li
PY  - 2017/09
DA  - 2017/09
TI  - A Novel Linear Programming Optimization Coverage Scheme Based on Probability model
BT  - Proceedings of the 2017 5th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering (ICMMCCE 2017)
PB  - Atlantis Press
SP  - 1085
EP  - 1089
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmcce-17.2017.194
DO  - 10.2991/icmmcce-17.2017.194
ID  - Yan2017/09
ER  -