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author:

Luo, Haibo (Luo, Haibo.) [1] | He, Minghua (He, Minghua.) [2] | Ruan, Zhiqiang (Ruan, Zhiqiang.) [3]

Indexed by:

EI

Abstract:

In 1-dimensional queue wireless sensor networks, how to balance end-to-end latency and energy consumption is a challenging problem. However, traditional best path routing and existing opportunistic routing protocols do not address them well because relay hop counts are usually much more, and the link appears more unreliable compared with general mesh topology. In this work, we formulate these 2 problems as a multiobjective optimization problem. Specifically, we first classify network packets into types of time tolerant and time critical and introduce a residual energy collection mechanism of neighboring nodes for forwarder set selection. We then propose a time-aware and energy-efficient opportunistic routing protocol (TE-OR) to optimize energy consumption and to reduce latency for time-critical packets. We evaluate TE-OR by different parameters and compare it with existing protocols. The performance results show that TE-OR achieves a trade-off between energy consumption and time delay and balances energy consumption among nodes while guaranteeing the latency of time-critical packets is minimized. Copyright © 2016 John Wiley & Sons, Ltd.

Keyword:

Economic and social effects Energy efficiency Energy utilization Multiobjective optimization Network routing Power management (telecommunication) Routing protocols Sensor nodes

Community:

  • [ 1 ] [Luo, Haibo]College of Physics and Information Engineering, FuZhou University, Fuzhou, China
  • [ 2 ] [Luo, Haibo]Department of Computer Science, Minjiang University, Fuzhou, China
  • [ 3 ] [Luo, Haibo]Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, Fuzhou, China
  • [ 4 ] [He, Minghua]College of Physics and Information Engineering, FuZhou University, Fuzhou, China
  • [ 5 ] [Ruan, Zhiqiang]Department of Computer Science, Minjiang University, Fuzhou, China
  • [ 6 ] [Ruan, Zhiqiang]Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, Fuzhou, China

Reprint 's Address:

  • [luo, haibo]department of computer science, minjiang university, fuzhou, china;;[luo, haibo]fujian provincial key laboratory of information processing and intelligent control, fuzhou, china;;[luo, haibo]college of physics and information engineering, fuzhou university, fuzhou, china

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Source :

International Journal of Communication Systems

ISSN: 1074-5351

Year: 2017

Issue: 10

Volume: 30

1 . 7 1 7

JCR@2017

1 . 7 0 0

JCR@2023

ESI HC Threshold:177

JCR Journal Grade:3

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 13

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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