Example of International Journal of Sensor Networks format
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Example of International Journal of Sensor Networks format Example of International Journal of Sensor Networks format Example of International Journal of Sensor Networks format Example of International Journal of Sensor Networks format Example of International Journal of Sensor Networks format Example of International Journal of Sensor Networks format Example of International Journal of Sensor Networks format Example of International Journal of Sensor Networks format
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Example of International Journal of Sensor Networks format Example of International Journal of Sensor Networks format Example of International Journal of Sensor Networks format Example of International Journal of Sensor Networks format Example of International Journal of Sensor Networks format Example of International Journal of Sensor Networks format Example of International Journal of Sensor Networks format Example of International Journal of Sensor Networks format
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This content is only for preview purposes. The original open access content can be found here.
open access Open Access

International Journal of Sensor Networks — Template for authors

Categories Rank Trend in last 3 yrs
Control and Systems Engineering #119 of 260 up up by 23 ranks
Computer Science Applications #322 of 693 up up by 41 ranks
Computer Networks and Communications #156 of 334 up up by 11 ranks
Electrical and Electronic Engineering #325 of 693 up up by 51 ranks
journal-quality-icon Journal quality:
Good
calendar-icon Last 4 years overview: 278 Published Papers | 771 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 14/07/2020
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Related Journals

open access Open Access

IEEE

Quality:  
High
CiteRatio: 7.7
SJR: 0.864
SNIP: 1.736
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IEEE

Quality:  
High
CiteRatio: 16.6
SJR: 2.027
SNIP: 4.204
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Quality:  
High
CiteRatio: 17.7
SJR: 2.496
SNIP: 3.497

Journal Performance & Insights

Impact Factor

CiteRatio

Determines the importance of a journal by taking a measure of frequency with which the average article in a journal has been cited in a particular year.

A measure of average citations received per peer-reviewed paper published in the journal.

1.428

11% from 2018

Impact factor for International Journal of Sensor Networks from 2016 - 2019
Year Value
2019 1.428
2018 1.289
2017 0.878
2016 0.635
graph view Graph view
table view Table view

2.8

17% from 2019

CiteRatio for International Journal of Sensor Networks from 2016 - 2020
Year Value
2020 2.8
2019 2.4
2018 1.9
2017 1.3
2016 1.1
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has increased by 11% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

insights Insights

  • CiteRatio of this journal has increased by 17% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

Measures weighted citations received by the journal. Citation weighting depends on the categories and prestige of the citing journal.

Measures actual citations received relative to citations expected for the journal's category.

0.281

14% from 2019

SJR for International Journal of Sensor Networks from 2016 - 2020
Year Value
2020 0.281
2019 0.326
2018 0.269
2017 0.25
2016 0.212
graph view Graph view
table view Table view

0.562

16% from 2019

SNIP for International Journal of Sensor Networks from 2016 - 2020
Year Value
2020 0.562
2019 0.67
2018 0.545
2017 0.63
2016 0.528
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has decreased by 14% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has decreased by 16% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

International Journal of Sensor Networks

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Inderscience Publishers

International Journal of Sensor Networks

Approved by publishing and review experts on SciSpace, this template is built as per for International Journal of Sensor Networks formatting guidelines as mentioned in Inderscience Publishers author instructions. The current version was created on 14 Jul 2020 and has been used by 658 authors to write and format their manuscripts to this journal.

i
Last updated on
14 Jul 2020
i
ISSN
1748-1279
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Impact Factor
High - 1.375
i
Open Access
No
i
Sherpa RoMEO Archiving Policy
Yellow faq
i
Plagiarism Check
Available via Turnitin
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Endnote Style
Download Available
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Bibliography Name
plainnat
i
Citation Type
Author Year
(Blonder et al., 1982)
i
Bibliography Example
Blonder, G. E., Tinkham, M., and Klapwijk, T. M. (1982). ‘Transition from metallic to tunneling regimes in superconducting microconstrictions: Excess current, charge imbalance, and supercurrent conversion’. Phys. Rev. B, Vol 25, No 7, pp.4515–4532.

Top papers written in this journal

Journal Article DOI: 10.1504/IJSNET.2008.016461
Minimising the effect of WiFi interference in 802.15.4 wireless sensor networks
Răzvan Musăloiu-E.1, Andreas Terzis1

Abstract:

Interference from colocated networks operating over the same frequency range, becomes an increasingly severe problem as the number of networks overlapping geographically increases. Our experiments show that such interference is indeed a major problem, causing up to 58% packet loss to a multihop 802.15.4 sensor network competi... Interference from colocated networks operating over the same frequency range, becomes an increasingly severe problem as the number of networks overlapping geographically increases. Our experiments show that such interference is indeed a major problem, causing up to 58% packet loss to a multihop 802.15.4 sensor network competing for radio spectrum with a WiFi network. We present interference estimators that can be efficiently implemented on resource constrained motes using off-the-shelf radios and outline distributed algorithms that use these estimators to dynamically switch frequencies as interference is detected. Lastly, we evaluate the proposed algorithms in the context of a real-life application that downloads large amounts of data over multihop network paths. Our results show that the proposed approach successfully detects interference from competing WiFi channels and selects non-overlapping 802.15.4 channels. As a result, the proposed solution reduces end-to-end loss rate from 22% 58% to < 1%. read more read less

Topics:

Wireless sensor network (56%)56% related to the paper, Interference (wave propagation) (53%)53% related to the paper, Packet loss (53%)53% related to the paper
View PDF
213 Citations
open accessOpen access Journal Article DOI: 10.1504/IJSNET.2008.018487
Energy-efficient connected-coverage in wireless sensor networks
Ionut Cardei1, Mihaela Cardei1

Abstract:

This paper addresses the target coverage problem inWireless Sensor Networks (WSNs). Communication and sensing consume energy, therefore, efficient power management can extend network lifetime. In this paper, we consider a large number of sensors randomly deployed to monitor a number of targets. Each target may be redundantly ... This paper addresses the target coverage problem inWireless Sensor Networks (WSNs). Communication and sensing consume energy, therefore, efficient power management can extend network lifetime. In this paper, we consider a large number of sensors randomly deployed to monitor a number of targets. Each target may be redundantly covered by multiple sensors. To conserve energy, we organise sensors in sets activated sucessively. In this paper, we introduce the Connected Set Covers (CSC) problem that has as objective finding a maximum number of set covers such that each sensor node to be activated is connected to the Base Station (BS). A sensor can participate in multiple sensor sets, but the total energy spent in all sets is constrained by the initial energy reserves. We show that the CSC problem is NP-complete and we propose three solutions: an Integer Programming (IP)-based solution, a greedy approach and a distributed and localised heuristic. Simulation results that validate our approaches are also presented. read more read less

Topics:

Key distribution in wireless sensor networks (62%)62% related to the paper, Sensor node (61%)61% related to the paper, Wireless sensor network (61%)61% related to the paper, Efficient energy use (54%)54% related to the paper, Greedy algorithm (54%)54% related to the paper
View PDF
132 Citations
open accessOpen access Journal Article DOI: 10.1504/IJSNET.2006.010833
Improving network lifetime using sensors with adjustable sensing ranges
Mihaela Cardei1, Jie Wu1, Mingming Lu1

Abstract:

This paper addresses the target coverage problem in wireless sensor networks with adjustable sensing range. Communication and sensing consume energy, therefore efficient power management can extend network lifetime. In this paper, we consider a large number of sensors with adjustable sensing range that are randomly deployed t... This paper addresses the target coverage problem in wireless sensor networks with adjustable sensing range. Communication and sensing consume energy, therefore efficient power management can extend network lifetime. In this paper, we consider a large number of sensors with adjustable sensing range that are randomly deployed to monitor a number of targets. Since targets are redundantly covered by multiple sensors, to conserve energy resources, sensors can be organised in sets, activated successively. In this paper, we address the Adjustable Range Set Covers (AR-SC) problem that has as its objective finding a maximum number of set covers and the ranges associated with each sensor, such that each sensor set covers all the targets. A sensor can participate in multiple sensor sets, but the sum of the energy spent in each set is constrained by the initial energy resources. In this paper, we mathematically model solutions to this problem and design heuristics that efficiently compute the sets. Simulation results are presented to verify our approaches. read more read less

Topics:

Wireless sensor network (59%)59% related to the paper, Efficient energy use (53%)53% related to the paper, Wireless network (50%)50% related to the paper
View PDF
130 Citations
Journal Article DOI: 10.1504/IJSNET.2006.012035
In-network aggregation trade-offs for data collection in wireless sensor networks
Ignacio Solis1, Katia Obraczka1

Abstract:

This paper explores in-network aggregation as a power-efficient mechanism for collecting data in wireless sensor networks. In particular, we focus on sensor network scenarios where a large number of nodes produce data periodically. Such communication model is typical of monitoring applications, an important application domain... This paper explores in-network aggregation as a power-efficient mechanism for collecting data in wireless sensor networks. In particular, we focus on sensor network scenarios where a large number of nodes produce data periodically. Such communication model is typical of monitoring applications, an important application domain sensor networks target. The main idea behind in-network aggregation is that, rather than sending individual data items from sensors to sinks, multiple data items are aggregated as they are forwarded by the sensor network. Through simulations, we evaluate the performance of different in-network aggregation algorithms, including our own cascading timers, in terms of the trade-offs between energy efficiency, data accuracy and freshness. Our results show that timing, that is, how long a node waits to receive data from its children (downstream nodes in respect to the information sink) before forwarding data onto the next hop (toward the sink) plays a crucial role in the performance of aggregation algorithms for applications that generate data periodically. By carefully selecting when to aggregate and forward data, cascading timers achieves considerable energy savings while maintaining data freshness and accuracy. We also study in-network aggregation's cost-efficiency using simple mathematical models. Since wireless sensor networks are prone to transmission errors and losses can have considerable impact when data aggregation is used, we also propose and evaluate a number of techniques for handling packet loss. Simulations show that, when used in conjunction with aggregation protocols, the proposed techniques can effectively mitigate the effects of random transmission losses in a power-efficient way. read more read less

Topics:

Key distribution in wireless sensor networks (63%)63% related to the paper, Wireless sensor network (62%)62% related to the paper, Wireless network (57%)57% related to the paper, Data aggregator (54%)54% related to the paper, Packet loss (52%)52% related to the paper
115 Citations
open accessOpen access Journal Article DOI: 10.1504/IJSNET.2007.012981
Some problems of directional sensor networks
Huadong Ma1, Yonghe Liu2

Abstract:

Wireless sensor networks are often based on omni-sensing and communication models. In contrast, in this paper, we investigate sensor networks with directional sensing and communication capability. Due to the distinct characteristics and potential effects on coverage and connectivity of the network, novel analysis and solution... Wireless sensor networks are often based on omni-sensing and communication models. In contrast, in this paper, we investigate sensor networks with directional sensing and communication capability. Due to the distinct characteristics and potential effects on coverage and connectivity of the network, novel analysis and solutions are demanded. Towards this end, this paper analyses deployment strategies for satisfying given coverage probability requirements with directional sensing models. Moreover, for sensors with directional communication model, we propose methods for checking and repairing the connectivity of the network. We design efficient protocols to implement our idea. A set of experiments are also performed to prove the effectiveness of our solution. read more read less

Topics:

Key distribution in wireless sensor networks (63%)63% related to the paper, Wireless sensor network (60%)60% related to the paper, Visual sensor network (60%)60% related to the paper, Mobile wireless sensor network (59%)59% related to the paper, Wireless network (56%)56% related to the paper
View PDF
114 Citations
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Frequently asked questions

1. Can I write International Journal of Sensor Networks in LaTeX?

Absolutely not! Our tool has been designed to help you focus on writing. You can write your entire paper as per the International Journal of Sensor Networks guidelines and auto format it.

2. Do you follow the International Journal of Sensor Networks guidelines?

Yes, the template is compliant with the International Journal of Sensor Networks guidelines. Our experts at SciSpace ensure that. If there are any changes to the journal's guidelines, we'll change our algorithm accordingly.

3. Can I cite my article in multiple styles in International Journal of Sensor Networks?

Of course! We support all the top citation styles, such as APA style, MLA style, Vancouver style, Harvard style, and Chicago style. For example, when you write your paper and hit autoformat, our system will automatically update your article as per the International Journal of Sensor Networks citation style.

4. Can I use the International Journal of Sensor Networks templates for free?

Sign up for our free trial, and you'll be able to use all our features for seven days. You'll see how helpful they are and how inexpensive they are compared to other options, Especially for International Journal of Sensor Networks.

5. Can I use a manuscript in International Journal of Sensor Networks that I have written in MS Word?

Yes. You can choose the right template, copy-paste the contents from the word document, and click on auto-format. Once you're done, you'll have a publish-ready paper International Journal of Sensor Networks that you can download at the end.

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7. Where can I find the template for the International Journal of Sensor Networks?

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After writing your paper autoformatting in International Journal of Sensor Networks, you can download it in multiple formats, viz., PDF, Docx, and LaTeX.

12. Is International Journal of Sensor Networks's impact factor high enough that I should try publishing my article there?

To be honest, the answer is no. The impact factor is one of the many elements that determine the quality of a journal. Few of these factors include review board, rejection rates, frequency of inclusion in indexes, and Eigenfactor. You need to assess all these factors before you make your final call.

13. What is Sherpa RoMEO Archiving Policy for International Journal of Sensor Networks?

SHERPA/RoMEO Database

We extracted this data from Sherpa Romeo to help researchers understand the access level of this journal in accordance with the Sherpa Romeo Archiving Policy for International Journal of Sensor Networks. The table below indicates the level of access a journal has as per Sherpa Romeo's archiving policy.

RoMEO Colour Archiving policy
Green Can archive pre-print and post-print or publisher's version/PDF
Blue Can archive post-print (ie final draft post-refereeing) or publisher's version/PDF
Yellow Can archive pre-print (ie pre-refereeing)
White Archiving not formally supported
FYI:
  1. Pre-prints as being the version of the paper before peer review and
  2. Post-prints as being the version of the paper after peer-review, with revisions having been made.

14. What are the most common citation types In International Journal of Sensor Networks?

The 5 most common citation types in order of usage for International Journal of Sensor Networks are:.

S. No. Citation Style Type
1. Author Year
2. Numbered
3. Numbered (Superscripted)
4. Author Year (Cited Pages)
5. Footnote

15. How do I submit my article to the International Journal of Sensor Networks?

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16. Can I download International Journal of Sensor Networks in Endnote format?

Yes, SciSpace provides this functionality. After signing up, you would need to import your existing references from Word or Bib file to SciSpace. Then SciSpace would allow you to download your references in International Journal of Sensor Networks Endnote style according to Elsevier guidelines.

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