Efficient artificial fish swarm based clustering approach on mobility aware energy‐efficient for MANET
Mobile ad hoc network (MANET) is a gathering of self‐ruling mobile nodes in which ad hoc network framed without settled foundation. Dynamic topology property of MANET may debase the execution of the network, mobility attentiveness, and energy effectiveness because of an ideal cluster head (CH). The...
Saved in:
Published in | Transactions on emerging telecommunications technologies Vol. 30; no. 9 |
---|---|
Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
01.09.2019
|
Online Access | Get full text |
ISSN | 2161-3915 2161-3915 |
DOI | 10.1002/ett.3524 |
Cover
Loading…
Abstract | Mobile ad hoc network (MANET) is a gathering of self‐ruling mobile nodes in which ad hoc network framed without settled foundation. Dynamic topology property of MANET may debase the execution of the network, mobility attentiveness, and energy effectiveness because of an ideal cluster head (CH). The low energy adaptive clustering hierarchy protocol is used in the MANETs for enhancement of network life time by proficiently utilizing of the accessible constrained energy. Artificial fish swarm optimization is used to select the CH in MANET communication process. The election of CH takes care of mobility and remaining energy as well as the degree of connectivity for selecting nodes to serve as cluster for longer duration of time. From the implementation results, it is observed that the proposed method provides the maximum network life time as 80 to 140 hours and minimum energy consumption as 9 to 130 J, compared with existing protocol and optimization technique.
Model for proposed work. AFS, artificial fish swarm; CH, cluster head; LEACH, low energy adaptive clustering hierarchy.
The LEACH protocol is used in the MANETs for enhancement of network lifetime by proficiently utilizing of the accessible constrained energy. Artificial Fish Swarm (AFS) optimization is used to select the CH in MANET communication process. The election of CH takes care of mobility and remaining energy as well as the degree of connectivity for selecting nodes to serve as a cluster for the longer duration of time. The energy consumption of the suggested routing protocol is very low comparing to the existing energy routing protocols. |
---|---|
AbstractList | Mobile ad hoc network (MANET) is a gathering of self‐ruling mobile nodes in which ad hoc network framed without settled foundation. Dynamic topology property of MANET may debase the execution of the network, mobility attentiveness, and energy effectiveness because of an ideal cluster head (CH). The low energy adaptive clustering hierarchy protocol is used in the MANETs for enhancement of network life time by proficiently utilizing of the accessible constrained energy. Artificial fish swarm optimization is used to select the CH in MANET communication process. The election of CH takes care of mobility and remaining energy as well as the degree of connectivity for selecting nodes to serve as cluster for longer duration of time. From the implementation results, it is observed that the proposed method provides the maximum network life time as 80 to 140 hours and minimum energy consumption as 9 to 130 J, compared with existing protocol and optimization technique. Mobile ad hoc network (MANET) is a gathering of self‐ruling mobile nodes in which ad hoc network framed without settled foundation. Dynamic topology property of MANET may debase the execution of the network, mobility attentiveness, and energy effectiveness because of an ideal cluster head (CH). The low energy adaptive clustering hierarchy protocol is used in the MANETs for enhancement of network life time by proficiently utilizing of the accessible constrained energy. Artificial fish swarm optimization is used to select the CH in MANET communication process. The election of CH takes care of mobility and remaining energy as well as the degree of connectivity for selecting nodes to serve as cluster for longer duration of time. From the implementation results, it is observed that the proposed method provides the maximum network life time as 80 to 140 hours and minimum energy consumption as 9 to 130 J, compared with existing protocol and optimization technique. Model for proposed work. AFS, artificial fish swarm; CH, cluster head; LEACH, low energy adaptive clustering hierarchy. The LEACH protocol is used in the MANETs for enhancement of network lifetime by proficiently utilizing of the accessible constrained energy. Artificial Fish Swarm (AFS) optimization is used to select the CH in MANET communication process. The election of CH takes care of mobility and remaining energy as well as the degree of connectivity for selecting nodes to serve as a cluster for the longer duration of time. The energy consumption of the suggested routing protocol is very low comparing to the existing energy routing protocols. |
Author | Khanna, Ashish Furtado, Vasco SK, Lakshmanaprabu Shankar, K. Gupta, Deepak Rodrigues, Joel J. P. C. |
Author_xml | – sequence: 1 givenname: Deepak surname: Gupta fullname: Gupta, Deepak organization: GGSIP University – sequence: 2 givenname: Ashish surname: Khanna fullname: Khanna, Ashish organization: GGSIP University – sequence: 3 givenname: Lakshmanaprabu surname: SK fullname: SK, Lakshmanaprabu organization: Department of Electronics and Instrumentation Engineering, B. S. Abdur Rahman Crescent Institute of Science and Technology – sequence: 4 givenname: K. surname: Shankar fullname: Shankar, K. organization: School of Computing, Kalasalingam Academy of Research and Education – sequence: 5 givenname: Vasco surname: Furtado fullname: Furtado, Vasco organization: University of Fortaleza (UNIFOR) – sequence: 6 givenname: Joel J. P. C. orcidid: 0000-0001-8657-3800 surname: Rodrigues fullname: Rodrigues, Joel J. P. C. email: joeljr@ieee.org organization: Instituto de Telecomunicações |
BookMark | eNp1kMFOwzAQRC1UJEqpxCf4yCXFdpwmPlZVoEgFLuEcbdx1a5QmlW1U5cYn8I18CSlFCCHYy8zhzWg152TQtA0ScsnZhDMmrjGESZwIeUKGgk95FCueDH74MzL2_pn1lyYikdmQbHJjrLbYBAou2IOHmhrrN9TvwW1pBR5XVNcvPqCzzZrCbuda0BvaNnTbVra2oaPQs0ixQbfu3l_f8LvUtI7ezx7y4oKcGqg9jr90RJ5u8mK-iJaPt3fz2TLSYprICKTigktQhimErFqlMlVaS837d4HFkmeGCZ1loooV08DNSiQchTZKp4gyHpGrY692rfcOTblzdguuKzkrDyOV_UjlYaQenfxCtQ0QbNsEB7b-KxAdA3tbY_dvcZkXxSf_AVanfCc |
CitedBy_id | crossref_primary_10_1109_ACCESS_2023_3327640 crossref_primary_10_1002_cpe_7665 crossref_primary_10_1002_dac_3953 crossref_primary_10_3233_JIFS_179086 crossref_primary_10_1016_j_cose_2022_102834 crossref_primary_10_2174_0126662558284944240223131955 crossref_primary_10_1007_s11277_023_10675_y crossref_primary_10_2139_ssrn_3833917 crossref_primary_10_1016_j_buildenv_2023_110573 crossref_primary_10_1007_s11227_019_03039_6 crossref_primary_10_32604_cmc_2022_022539 crossref_primary_10_1166_jctn_2020_9434 crossref_primary_10_32604_cmc_2022_023306 crossref_primary_10_32604_cmc_2022_031541 crossref_primary_10_1007_s10723_022_09623_0 crossref_primary_10_1007_s11277_021_08088_w crossref_primary_10_1109_ACCESS_2020_3039695 crossref_primary_10_1007_s12083_019_00813_4 crossref_primary_10_1111_exsy_12813 crossref_primary_10_32604_cmc_2021_013034 crossref_primary_10_1049_ntw2_70001 crossref_primary_10_1007_s11277_021_08352_z crossref_primary_10_1109_ACCESS_2021_3065288 crossref_primary_10_1016_j_jclepro_2019_01_115 crossref_primary_10_1080_03772063_2023_2299682 crossref_primary_10_32604_cmc_2022_019122 crossref_primary_10_1016_j_measurement_2019_01_002 crossref_primary_10_1186_s13638_024_02422_z crossref_primary_10_1007_s11227_019_03040_z crossref_primary_10_1002_cpe_6867 crossref_primary_10_1002_ett_3757 crossref_primary_10_1016_j_measurement_2019_02_042 crossref_primary_10_1002_ett_4202 |
Cites_doi | 10.1109/MILCOM.2006.302167 10.1109/ICISC.2018.8398863 10.1109/SPIN.2016.7566772 10.1007/s00521-018-3688-6 10.1016/j.future.2016.06.033 10.1007/s11227-018-2469-4 10.1016/j.compind.2013.05.005 10.1016/j.asoc.2017.06.042 10.1016/j.adhoc.2017.08.007 10.1016/j.jnca.2016.07.003 10.5120/cae2017652564 10.1201/9780429445927-1 10.3390/s20700258 10.1016/j.compeleceng.2018.04.014 10.1016/j.jnca.2017.01.031 10.3390/s18082618 10.1016/j.cogsys.2018.06.006 10.1016/j.procs.2016.02.091 10.1016/j.comcom.2014.05.008 10.1016/j.jocs.2017.06.005 10.1080/02564602.2016.1192962 10.1109/CSNDSP.2014.6923931 10.1016/j.future.2016.06.032 10.1155/2013/723913 10.1007/978-981-13-2354-6_47 10.1016/j.asoc.2011.05.022 10.1016/j.future.2017.07.030 10.1109/ICACCAF.2017.8344715 10.1016/j.pmcj.2017.11.003 |
ContentType | Journal Article |
Copyright | 2018 John Wiley & Sons, Ltd. |
Copyright_xml | – notice: 2018 John Wiley & Sons, Ltd. |
DBID | AAYXX CITATION |
DOI | 10.1002/ett.3524 |
DatabaseName | CrossRef |
DatabaseTitle | CrossRef |
DatabaseTitleList | CrossRef |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Engineering |
EISSN | 2161-3915 |
EndPage | n/a |
ExternalDocumentID | 10_1002_ett_3524 ETT3524 |
Genre | article |
GrantInformation_xml | – fundername: Radiocommunication Reference Center (Centro de Referência em Radiocomunicações- CRR) project of the National Institute of Telecommunications (Instituto Nacional de Telecomunicações - Inatel), Brazil; Brazilian National Council for Research and Development (CNPq) funderid: 309335/2017-5 – fundername: Fundação para a Ciência e a Tecnologia funderid: UID/EEA/500008/2013 – fundername: Finep funderid: 01.14.0231.00 |
GroupedDBID | .GA .Y3 05W 1OC 31~ 50Z 8-0 8-1 8-3 8-4 8-5 930 A03 AAEVG AAHHS AAHQN AAMNL AANHP AANLZ AAXRX AAYCA AAZKR ABCUV ACAHQ ACBWZ ACCFJ ACCZN ACPOU ACRPL ACXBN ACXQS ACYXJ ADBBV ADEOM ADIZJ ADKYN ADMGS ADNMO ADOZA ADXAS ADZMN AEEZP AEGXH AEIGN AEIMD AENEX AEQDE AEUQT AEUYR AFBPY AFFPM AFGKR AFPWT AFWVQ AFZJQ AHBTC AITYG AIURR AIWBW AJBDE AJXKR ALMA_UNASSIGNED_HOLDINGS ALUQN ALVPJ AMBMR AMYDB ATUGU AUFTA AZFZN BDRZF BFHJK BHBCM BMNLL BMXJE BRXPI D-E D-F DCZOG DPXWK DRFUL DRSTM EBS EJD F00 F01 F04 F21 G-S GODZA HGLYW IN- LATKE LEEKS LH4 LITHE LOXES LUTES LW6 LYRES MEWTI MRFUL MRSTM MSFUL MSSTM MXFUL MXSTM RX1 SUPJJ V2E WIH WIK WXSBR AAYXX ADMLS AGHNM AGQPQ AGYGG CITATION |
ID | FETCH-LOGICAL-c2654-a491214a9f09ea8bd7479cc4c1548a03418f02c882b390ca1fd251e2cf9c7ee43 |
ISSN | 2161-3915 |
IngestDate | Thu Apr 24 22:57:22 EDT 2025 Tue Jul 01 03:49:21 EDT 2025 Wed Jan 22 16:38:23 EST 2025 |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 9 |
Language | English |
LinkModel | OpenURL |
MergedId | FETCHMERGED-LOGICAL-c2654-a491214a9f09ea8bd7479cc4c1548a03418f02c882b390ca1fd251e2cf9c7ee43 |
ORCID | 0000-0001-8657-3800 |
PageCount | 1 |
ParticipantIDs | crossref_primary_10_1002_ett_3524 crossref_citationtrail_10_1002_ett_3524 wiley_primary_10_1002_ett_3524_ETT3524 |
ProviderPackageCode | CITATION AAYXX |
PublicationCentury | 2000 |
PublicationDate | September 2019 2019-09-00 |
PublicationDateYYYYMMDD | 2019-09-01 |
PublicationDate_xml | – month: 09 year: 2019 text: September 2019 |
PublicationDecade | 2010 |
PublicationTitle | Transactions on emerging telecommunications technologies |
PublicationYear | 2019 |
References | 2017; 6 2017; 83 2017; 3 2017; 60 2017; 66 2013; 64 2017; 23 2018; 81 2002; 2 2011; 11 2006 2016; 73 2018; 43 2016; 78 2018; 68 2018; 18 2018; 2 2013; 2013 2017; 34 2002; 22 2018 2017 2016 2018; 52 2014 2014; 52 e_1_2_6_10_1 e_1_2_6_31_1 e_1_2_6_30_1 e_1_2_6_19_1 e_1_2_6_13_1 e_1_2_6_14_1 e_1_2_6_11_1 e_1_2_6_12_1 e_1_2_6_17_1 e_1_2_6_18_1 e_1_2_6_15_1 e_1_2_6_16_1 Singh P (e_1_2_6_4_1) 2017; 3 e_1_2_6_21_1 e_1_2_6_20_1 Li X‐L (e_1_2_6_32_1) 2002; 22 e_1_2_6_9_1 e_1_2_6_8_1 e_1_2_6_5_1 e_1_2_6_7_1 e_1_2_6_6_1 e_1_2_6_25_1 e_1_2_6_24_1 e_1_2_6_3_1 e_1_2_6_23_1 e_1_2_6_2_1 e_1_2_6_22_1 e_1_2_6_29_1 e_1_2_6_28_1 e_1_2_6_27_1 e_1_2_6_26_1 |
References_xml | – volume: 43 start-page: 27 year: 2018 end-page: 48 article-title: ARBIC: an adjustable range based immune hierarchy clustering protocol supporting mobility of wireless sensor networks publication-title: Pervasive Mob Comput – volume: 64 start-page: 849 issue: 7 year: 2013 end-page: 853 article-title: Optimizing communication in mobile ad hoc network clustering publication-title: Comput Ind – volume: 66 start-page: 160 year: 2017 end-page: 170 article-title: ACO‐based clustering for ego network analysis publication-title: Futur Gener Comput Syst – volume: 34 start-page: 353 issue: 4 year: 2017 end-page: 365 article-title: An adaptive protocol for stable and energy‐aware routing in MANETs publication-title: IETE Tech Rev – volume: 66 start-page: 125 year: 2017 end-page: 136 article-title: Detecting discussion communities on vaccination in Twitter publication-title: Futur Gener Comput Syst – volume: 22 start-page: 32 issue: 11 year: 2002 end-page: 38 article-title: An optimizing method based on autonomous animats: fish‐swarm algorithm publication-title: Syst Eng Theory Pract – volume: 11 start-page: 5367 issue: 8 year: 2011 end-page: 5374 article-title: Modification of the fish swarm algorithm with particle swarm optimization formulation and communication behavior publication-title: Appl Soft Comput – volume: 18 start-page: 2618 issue: 8 year: 2018 article-title: Energy efficient management of pipelines in buildings using linear wireless sensor networks publication-title: Sensors – volume: 2 start-page: 258 issue: 7 year: 2002 end-page: 269 article-title: Optimal energy aware clustering in sensor networks publication-title: Sensors – volume: 6 start-page: 1 year: 2017 end-page: 9 article-title: A survey on security attacks/defenses in mobile ad‐hoc networks publication-title: Commun Appl Electron – volume: 78 start-page: 477 year: 2016 end-page: 482 article-title: Survey on algorithms for efficient cluster formation and cluster head selection in MANET publication-title: Procedia Comput Sci – volume: 2013 start-page: 1 year: 2013 end-page: 8 article-title: Efficient cluster head selection algorithm for MANET publication-title: J Comput Netw Commun – start-page: 1 year: 2018 end-page: 23 – volume: 83 start-page: 40 year: 2017 end-page: 52 article-title: Energy efficient clustering protocol based on improved metaheuristic in wireless sensor networks publication-title: J Netw Comput Appl – year: 2018 article-title: Optimal feature‐based multi‐kernel SVM approach for thyroid disease classification publication-title: J Supercomput – volume: 23 start-page: 195 year: 2017 end-page: 203 article-title: Usability feature selection via MBBAT: a novel approach publication-title: J Comput Sci – volume: 68 start-page: 412 year: 2018 end-page: 424 article-title: Improved diagnosis of Parkinson's disease based on optimized crow search algorithm publication-title: Comput Electr Eng – year: 2016 – volume: 66 start-page: 95 year: 2017 end-page: 109 article-title: On state maintenance in cluster‐based mobile ad‐hoc networks publication-title: Ad Hoc Netw – year: 2018 article-title: Usability feature extraction using modified crow search algorithm: a novel approach publication-title: Neural Comput Appl – year: 2018 – year: 2014 – volume: 52 start-page: 36 year: 2018 end-page: 48 article-title: Optimized cuttlefish algorithm for diagnosis of Parkinson's disease publication-title: Cogn Syst Res – volume: 60 start-page: 241 year: 2017 end-page: 255 article-title: Comparative study of pheromone control heuristics in ACO algorithms for solving RCPSP problems publication-title: Appl Soft Comput – volume: 81 start-page: 505 year: 2018 end-page: 513 article-title: Smart perception and autonomic optimization: a novel bio‐inspired hybrid routing protocol for MANETs publication-title: Futur Gener Comput Syst – year: 2006 – volume: 73 start-page: 35 year: 2016 end-page: 43 article-title: Enhancing energy efficiency and load balancing in mobile ad hoc network using dynamic genetic algorithms publication-title: J Netw Comput Appl – volume: 3 start-page: 9 year: 2017 end-page: 16 article-title: Review of mobile ad hoc networks: applications and challenges publication-title: Int J Innov Appl Sci Eng – volume: 52 start-page: 1 year: 2014 end-page: 20 article-title: Mobility in wireless sensor networks–survey and proposal publication-title: Comput Commun – year: 2017 – volume: 2 year: 2018 – ident: e_1_2_6_10_1 doi: 10.1109/MILCOM.2006.302167 – ident: e_1_2_6_30_1 doi: 10.1109/ICISC.2018.8398863 – ident: e_1_2_6_8_1 doi: 10.1109/SPIN.2016.7566772 – ident: e_1_2_6_14_1 doi: 10.1007/s00521-018-3688-6 – ident: e_1_2_6_13_1 doi: 10.1016/j.future.2016.06.033 – ident: e_1_2_6_19_1 doi: 10.1007/s11227-018-2469-4 – ident: e_1_2_6_25_1 doi: 10.1016/j.compind.2013.05.005 – ident: e_1_2_6_22_1 doi: 10.1016/j.asoc.2017.06.042 – ident: e_1_2_6_3_1 doi: 10.1016/j.adhoc.2017.08.007 – ident: e_1_2_6_24_1 doi: 10.1016/j.jnca.2016.07.003 – volume: 3 start-page: 9 year: 2017 ident: e_1_2_6_4_1 article-title: Review of mobile ad hoc networks: applications and challenges publication-title: Int J Innov Appl Sci Eng – ident: e_1_2_6_5_1 doi: 10.5120/cae2017652564 – ident: e_1_2_6_21_1 doi: 10.1201/9780429445927-1 – ident: e_1_2_6_11_1 doi: 10.3390/s20700258 – ident: e_1_2_6_15_1 doi: 10.1016/j.compeleceng.2018.04.014 – ident: e_1_2_6_7_1 doi: 10.1016/j.jnca.2017.01.031 – ident: e_1_2_6_18_1 doi: 10.3390/s18082618 – volume: 22 start-page: 32 issue: 11 year: 2002 ident: e_1_2_6_32_1 article-title: An optimizing method based on autonomous animats: fish‐swarm algorithm publication-title: Syst Eng Theory Pract – ident: e_1_2_6_16_1 doi: 10.1016/j.cogsys.2018.06.006 – ident: e_1_2_6_27_1 doi: 10.1016/j.procs.2016.02.091 – ident: e_1_2_6_2_1 doi: 10.1016/j.comcom.2014.05.008 – ident: e_1_2_6_17_1 doi: 10.1016/j.jocs.2017.06.005 – ident: e_1_2_6_12_1 doi: 10.1080/02564602.2016.1192962 – ident: e_1_2_6_9_1 doi: 10.1109/CSNDSP.2014.6923931 – ident: e_1_2_6_23_1 doi: 10.1016/j.future.2016.06.032 – ident: e_1_2_6_26_1 doi: 10.1155/2013/723913 – ident: e_1_2_6_20_1 doi: 10.1007/978-981-13-2354-6_47 – ident: e_1_2_6_28_1 doi: 10.1016/j.asoc.2011.05.022 – ident: e_1_2_6_29_1 doi: 10.1016/j.future.2017.07.030 – ident: e_1_2_6_31_1 doi: 10.1109/ICACCAF.2017.8344715 – ident: e_1_2_6_6_1 doi: 10.1016/j.pmcj.2017.11.003 |
SSID | ssj0000752548 |
Score | 2.360708 |
Snippet | Mobile ad hoc network (MANET) is a gathering of self‐ruling mobile nodes in which ad hoc network framed without settled foundation. Dynamic topology property... |
SourceID | crossref wiley |
SourceType | Enrichment Source Index Database Publisher |
Title | Efficient artificial fish swarm based clustering approach on mobility aware energy‐efficient for MANET |
URI | https://onlinelibrary.wiley.com/doi/abs/10.1002%2Fett.3524 |
Volume | 30 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3NjtMwELZK9wIHxK9Y_mQkBIcqJXbdNjlWbGFF6V7ISnuLbMdRpd1NqzbRCk48Aq_Ba_EkzNiJE0RXWrhElTONWs-nzI_nmyHkdTY1ocrlONARjjDLIxGAn8yCXIso11wbFSF3eHkyOT4Vn87GZ73ez07VUlWqof62l1fyP1qFNdArsmT_QbP-obAAn0G_cAUNw_VGOp7b_g-2Snxra34w_Z1jj6LdldxeDtBEZQN9UWE3BMtGrDuI4xHB5drWxX4dyCus_jKWBOhrH4x_NNYhLmcn86TrxybtmHF73oA0YzvuqMS5Ol3SyW5QNtn7Tr3ix2rj3NYjA_bQs4UWK1k4ktpst4L_4fM_C8fhPt-tsNx2s5Wq8vfgO-euTHwx7CYxWFulVb_rOMM0WOyYnUOzZ61-WdeHOA6Uccdse6P2l01wPWZNWQ7B2RSt3WvO-r3M-Dopa-7nSYJ3bpEDDhEJ75OD2dHy8xef0APfC4JtOwGx-eFNs-OQv2se_If70w2HrD-T3CN360CEzhyq7pOeKR6QO532lA_JyuOLtviiiC9q8UUtvmiLL9rgi64L2uCLWnxRh69f3394ZFFAFrXIekROP8yT98dBPZkj0HwyFoEUMeNMyDgPYyMjlUFQGmstNAbAMgTPKMpDriF6U6M41JLlGfjRhus81lNjxOgx6Rfrwjwh1MQjxvlUKyXQN4rUxDCpmYkyMA46Z4fkbbNhqa7b1uP0lIvUNdzmKWxtilt7SF55yY1r1bJH5o3d82sF0lrNT28q-IzcbgH9nPTLbWVegJ9aqpc1Qn4D4kSYYQ |
linkProvider | EBSCOhost |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Efficient+artificial+fish+swarm+based+clustering+approach+on+mobility+aware+energy%E2%80%90efficient+for+MANET&rft.jtitle=Transactions+on+emerging+telecommunications+technologies&rft.au=Gupta%2C+Deepak&rft.au=Khanna%2C+Ashish&rft.au=SK%2C+Lakshmanaprabu&rft.au=Shankar%2C+K.&rft.date=2019-09-01&rft.issn=2161-3915&rft.eissn=2161-3915&rft.volume=30&rft.issue=9&rft.epage=n%2Fa&rft_id=info:doi/10.1002%2Fett.3524&rft.externalDBID=10.1002%252Fett.3524&rft.externalDocID=ETT3524 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2161-3915&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2161-3915&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2161-3915&client=summon |