Evidence map›Paper›PMID 31640248›Full record

ArticleSensors (Basel, Switzerland)2019

An Improved Energy-Efficient Routing Protocol for Wireless Sensor Networks.

Yang Liu, Qiong Wu, Ting Zhao, Yong Tie, Fengshan Bai, Minglu Jin

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Yang LiuCollege of Electronic Information Engineering, Inner Mongolia University, Hohhot 010021, China. yangliu@imu.edu.cn.
Qiong WuSchool of Biological Science and Medical Engineering, Beihang University, Beijing 100083, China. qiongwuimu@163.com.
Ting ZhaoCollege of Electronic Information Engineering, Inner Mongolia University, Hohhot 010021, China. tingzhao@mail.imu.edu.cn.
Yong TieCollege of Electronic Information Engineering, Inner Mongolia University, Hohhot 010021, China. yongtieimu@163.com.ORCID 0000-0001-5743-9610
Fengshan BaiCollege of Electronic Information Engineering, Inner Mongolia University, Hohhot 010021, China. eefs@imu.edu.cn.
Minglu JinFaculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian 116024, China. mljin@dlut.edu.cn.

Funding

National Natural Science Foundation of China 61761033 and 61461036
6 · The paper itself

Abstract

Cluster-based hierarchical routing protocols play an essential role in decreasing the energy consumption of wireless sensor networks (WSNs). A low-energy adaptive clustering hierarchy (LEACH) has been proposed as an application-specific protocol architecture for WSNs. However, without considering the distribution of the cluster heads (CHs) in the rotation basis, the LEACH protocol will increase the energy consumption of the network. To improve the energy efficiency of the WSN, we propose a novel modified routing protocol in this paper. The newly proposed improved energy-efficient LEACH (IEE-LEACH) protocol considers the residual node energy and the average energy of the networks. To achieve satisfactory performance in terms of reducing the sensor energy consumption, the proposed IEE-LEACH accounts for the numbers of the optimal CHs and prohibits the nodes that are closer to the base station (BS) to join in the cluster formation. Furthermore, the proposed IEE-LEACH uses a new threshold for electing CHs among the sensor nodes, and employs single hop, multi-hop, and hybrid communications to further improve the energy efficiency of the networks. The simulation results demonstrate that, compared with some existing routing protocols, the proposed protocol substantially reduces the energy consumption of WSNs.

Indexed as

energy efficiencynetwork lifetimerouting protocolwireless sensor networks

Identifiers

PMID31640248
PMCPMC6832339

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.