Evidence map›Paper›PMID 30200347›Full record

ArticleSensors (Basel, Switzerland)2018

An Energy Conserving and Transmission Radius Adaptive Scheme to Optimize Performance of Energy Harvesting Sensor Networks.

Xin Ju, Wei Liu, Chengyuan Zhang, Anfeng Liu, Tian Wang, Neal N Xiong, Zhiping Cai

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 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

7 authors.

Xin JuSchool of Information Science and Engineering, Central South University, Changsha 410083, China. XinjuTry@csu.edu.cn.
Wei LiuSchool of Informatics, Hunan University of Chinese Medicine, Changsha 410208, China. weiliu@csu.edu.cn.
Chengyuan ZhangSchool of Information Science and Engineering, Central South University, Changsha 410083, China. cyzhang@csu.edu.cn.ORCID 0000-0003-2721-6867
Anfeng LiuSchool of Information Science and Engineering, Central South University, Changsha 410083, China. afengliu@mail.csu.edu.cn.ORCID 0000-0001-5190-4761
Tian WangCollege of Computer Science and Technology, Huaqiao University, Xiamen 361021, China. wangtian@hqu.edu.cn.
Neal N XiongDepartment of Mathematics and Computer Science, Northeastern State University, Tahlequah, OK 74464, USA. xiongnaixue@gmail.com.ORCID 0000-0002-0394-4635
Zhiping CaiDepartment of Network Engineering, School of Computer, National University of Defense Technology, Changsha 410073, China. zpcai@nudt.edu.cn.

Funding

the National Natural Science Foundation of China 61772554
6 · The paper itself

Abstract

In energy harvesting wireless sensor networks (EHWSNs), the energy tension of the network can be relieved by obtaining the energy from the surrounding environment, but the cost on hardware cannot be ignored. Therefore, how to minimize the cost of energy harvesting hardware to reduce the network deployment cost, and further optimize the network performance, is still a challenging issue in EHWSNs. In this paper, an energy conserving and transmission radius adaptive (ECTRA) scheme is proposed to reduce the cost and optimize the performance of solar-based EHWSNs. There are two main innovations of the ECTRA scheme. Firstly, an energy conserving approach is proposed to conserve energy and avoid outage for the nodes in hotspots, which are the bottleneck of the whole network. The novelty of this scheme is adaptively rotating the transmission radius. In this way, the nodes with maximum energy consumption are rotated, balancing energy consumption between nodes and reducing the maximum energy consumption in the network. Therefore, the battery storage capacity of nodes and the cost on hardware. Secondly, the ECTRA scheme selects a larger transmission radius for rotation when the node can absorb enough energy from the surroundings. The advantages of using this method are: (a) reducing the energy consumption of nodes in near-sink areas, thereby reducing the maximum energy consumption and allowing the node of the hotspot area to conserve energy, in order to prevent the node from outage. Hence, the network deployment costs can be further reduced; (b) reducing the network delay. When a larger transmission radius is used to transmit data in the network, fewer hops are needed by data packet to the sink. After the theoretical analyses, the results show the following advantages compared with traditional method. Firstly, the ECTRA scheme can effectively reduce deployment costs by 29.58% without effecting the network performance as shown in experiment analysis; Secondly, the ECTRA scheme can effectively reduce network data transmission delay by 44⁻71%; Thirdly, the ECTRA scheme shows a better balance in energy consumption and the maximum energy consumption is reduced by 27.89%; And lastly, the energy utilization rate is effectively improved by 30.09⁻55.48%.

Indexed as

costdelayenergy conservingenergy harvesting wireless sensor networkstransmission radius adaptive

Identifiers

PMID30200347
PMCPMC6165506

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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.