{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T00:45:17Z","timestamp":1780447517591,"version":"3.54.1"},"reference-count":42,"publisher":"Springer Science and Business Media LLC","issue":"14","license":[{"start":{"date-parts":[[2023,5,23]],"date-time":"2023-05-23T00:00:00Z","timestamp":1684800000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,5,23]],"date-time":"2023-05-23T00:00:00Z","timestamp":1684800000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Soft Comput"],"published-print":{"date-parts":[[2023,7]]},"DOI":"10.1007\/s00500-023-08406-3","type":"journal-article","created":{"date-parts":[[2023,5,23]],"date-time":"2023-05-23T10:53:36Z","timestamp":1684839216000},"page":"9367-9382","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["A fuzzy\/possibility approach for area coverage in wireless sensor networks"],"prefix":"10.1007","volume":"27","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6008-7318","authenticated-orcid":false,"given":"Adda","family":"Boualem","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cyril","family":"De Runz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marwane","family":"Ayaida","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Herman","family":"Akdag","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,5,23]]},"reference":[{"issue":"C","key":"8406_CR1","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1016\/j.inffus.2015.11.005","volume":"30","author":"M Abo-Zahhad","year":"2016","unstructured":"Abo-Zahhad M, Sabor N, Sasaki S et al (2016) A centralized immune-Vorono\u00ef deployment algorithm for coverage maximization and energy conservation in mobile wireless sensor networks. Int J Inf Fusion 30(C):36\u201351. https:\/\/doi.org\/10.1016\/j.inffus.2015.11.005","journal-title":"Int J Inf Fusion"},{"key":"8406_CR2","doi-asserted-by":"publisher","DOI":"10.1007\/s11277-018-5291-7","author":"P Ahlawat","year":"2018","unstructured":"Ahlawat P, Dave M (2018) Deployment based attack resistant key distribution with non overlapping key pools in WSN. Int J Wirel Pers Commun. https:\/\/doi.org\/10.1007\/s11277-018-5291-7","journal-title":"Int J Wirel Pers Commun"},{"key":"8406_CR3","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3390\/s20247191","volume":"20","author":"I Alablani","year":"2020","unstructured":"Alablani I, Alenazi M (2020) EDTD-SC: an IoT sensor deployment strategy for smart cities. Sensors 20:1\u201320","journal-title":"Sensors"},{"key":"8406_CR4","doi-asserted-by":"publisher","DOI":"10.1007\/s11277-020-07466-0","author":"AM Aski","year":"2020","unstructured":"Aski AM, Haj H, Javadi S et al (2020) A full connectable and high scalable key pre distribution scheme based on combinatorial designs for resource constrained devices in IoT network. Wirel Pers Commun. https:\/\/doi.org\/10.1007\/s11277-020-07466-0","journal-title":"Wirel Pers Commun"},{"issue":"2","key":"8406_CR5","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.jides.2016.11.002","volume":"3","author":"R Beghdad","year":"2016","unstructured":"Beghdad R, Hocini A, Cherchour N et al (2016) PEAS-LI: PEAS with location information for coverage in wireless sensor networks. J Innov Digit Ecosyst 3(2):1\u20139. https:\/\/doi.org\/10.1016\/j.jides.2016.11.002","journal-title":"J Innov Digit Ecosyst"},{"key":"8406_CR6","unstructured":"Boualem A (2021) Strat\u00e9gies d\u2019am\u00e9lioration de la couverture dans les r\u00e9seaux de capteurs sans fil. PhD thesis, \u00c9cole Sup\u00e9rieure d\u2019informatique, Alger, Algerie"},{"key":"8406_CR7","doi-asserted-by":"publisher","unstructured":"Boualem A, Dahmani Y, Maatoug A (2017) Energetic sleep- scheduling via probabilistic interference k-barrier coverage with truth-table technique in sensor network. In: International conference on mathematics and information technology. IEEE, Adrar, pp 255\u2013262. https:\/\/doi.org\/10.1109\/MATHIT.2017.8259726","DOI":"10.1109\/MATHIT.2017.8259726"},{"key":"8406_CR8","doi-asserted-by":"publisher","unstructured":"Boualem A, Dahmani Y, Maatoug A et al (2018) Area coverage optimization in wireless sensor network by semi-random deployment. In: Fleury E, Ahrens A, Benavente-Peces C et al (eds) Proceedings of the 7th international conference on sensor networks, SENSORNETS. SciTePress, Funchal, pp 85\u201390. https:\/\/doi.org\/10.5220\/0006581900850090","DOI":"10.5220\/0006581900850090"},{"key":"8406_CR9","doi-asserted-by":"publisher","unstructured":"Boualem A, Dahmani Y, Ayaida M et al (2019a) A new Dijkstra front-back algorithm for data routing-scheduling via efficient-energy area coverage in wireless sensor network. In: International wireless communications & mobile computing conference. IEEE, Tangier. https:\/\/doi.org\/10.1109\/IWCMC.2019.8766593","DOI":"10.1109\/IWCMC.2019.8766593"},{"key":"8406_CR10","doi-asserted-by":"publisher","unstructured":"Boualem A, Dahmani Y, Ayaida M et al (2019b) A new fuzzy\/evidential approach to address the area coverage problem in mobile wireless sensor networks. In: ACM\/SIGAPP symposium on applied computing (SAC\u201919). ACM, New York, NY, Limassol, Cyprus, pp 2430\u20132433. https:\/\/doi.org\/10.1145\/3297280.3297635","DOI":"10.1145\/3297280.3297635"},{"key":"8406_CR11","doi-asserted-by":"publisher","unstructured":"Boualem A, Dahmani Y, De Runz C et al (2019c) Spiderweb strategy: application for area coverage with mobile sensor nodes in 3d wireless sensor network. Int J Sens Netw (IJSNet) 29(2):121\u2013133. https:\/\/doi.org\/10.1504\/IJSNET.2019.10019058","DOI":"10.1504\/IJSNET.2019.10019058"},{"key":"8406_CR12","doi-asserted-by":"publisher","unstructured":"Boualem A, Dahmani Y, Ayaida M et al (2020) Hybrid model approach for wireless sensor networks coverage improvement. In: International conference on wireless networks and mobile communications (WINCOM2020). IEEE, Reims. https:\/\/doi.org\/10.1109\/WINCOM50532.2020.9272504","DOI":"10.1109\/WINCOM50532.2020.9272504"},{"issue":"3","key":"8406_CR13","doi-asserted-by":"publisher","first-page":"30","DOI":"10.4018\/IJFSA.2021070103","volume":"10","author":"A Boualem","year":"2021","unstructured":"Boualem A, Ayaida M, De Runz C et al (2021) An evidential approach for area coverage in mobile wireless sensor networks. Int J Fuzzy Syst Appl (IJFSA) 10(3):30\u201354. https:\/\/doi.org\/10.4018\/IJFSA.2021070103","journal-title":"Int J Fuzzy Syst Appl (IJFSA)"},{"issue":"5","key":"8406_CR14","doi-asserted-by":"publisher","first-page":"343","DOI":"10.1007\/s42979-022-01235-5","volume":"3","author":"A Boualem","year":"2022","unstructured":"Boualem A, de Runz C, Ayaida M (2022) Area coverage strategy in IoT networks based on redeployment, descriptive statistics, correlation and regression parameters. SN Comput Sci 3(5):343. https:\/\/doi.org\/10.1007\/s42979-022-01235-5","journal-title":"SN Comput Sci"},{"key":"8406_CR15","doi-asserted-by":"publisher","unstructured":"Bouchon-Meunier B (2000) Uncertainty management in medical applications. In: M A (ed) Nonlinear biomedical signal processing, vol 1. John Wiley & Sons, Ltd, London, pp 1\u201326. https:\/\/doi.org\/10.1002\/9780470545362.ch1","DOI":"10.1002\/9780470545362.ch1"},{"issue":"1","key":"8406_CR16","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.adhoc.2020.102264","volume":"107","author":"JC Charr","year":"2020","unstructured":"Charr JC, Deschinkel K, Mansour RH et al (2020) Lifetime optimization for partial coverage in heterogeneous sensor networks. Ad Hoc Netw 107(1):1\u201316. https:\/\/doi.org\/10.1016\/j.adhoc.2020.102264","journal-title":"Ad Hoc Netw"},{"key":"8406_CR17","doi-asserted-by":"publisher","DOI":"10.1016\/j.adhoc.2021.102660","author":"A Chowdhury","year":"2021","unstructured":"Chowdhury A, De D (2021) Energy-efficient coverage optimization in wireless sensor networks based on Voronoi-Glowworm swarm optimization-k-means algorithm. Ad Hoc Netw. https:\/\/doi.org\/10.1016\/j.adhoc.2021.102660","journal-title":"Ad Hoc Netw"},{"issue":"1","key":"8406_CR18","doi-asserted-by":"publisher","first-page":"55","DOI":"10.37936\/ecti-cit.2016101.56398","volume":"10","author":"C Danratchadakorn","year":"2016","unstructured":"Danratchadakorn C, Pornavalai C (2016) Coverage maximization with sleep scheduling for wireless sensor networks. ECTI Trans Comput O Inf Technol 10(1):55\u201363. https:\/\/doi.org\/10.37936\/ecti-cit.2016101.56398","journal-title":"ECTI Trans Comput O Inf Technol"},{"key":"8406_CR19","doi-asserted-by":"crossref","unstructured":"Destercke S, Den\u00e6ux T, Cuzzolin F et al (2018) Belief functions: theory and applications. In: International conference BELIEF, pp 1\u20137","DOI":"10.1007\/978-3-319-99383-6"},{"key":"8406_CR20","doi-asserted-by":"publisher","unstructured":"Dogan G, Brown T (2017) Uncertainty modeling in wireless sensor networks. In: BDIOT2017. ACM, London, pp 200\u2013204. https:\/\/doi.org\/10.1145\/3175684.3175692","DOI":"10.1145\/3175684.3175692"},{"issue":"5","key":"8406_CR21","first-page":"1","volume":"112","author":"DS Evangelos","year":"2017","unstructured":"Evangelos DS, Yang S, Dimitrios KM (2017) Game-theoretic optimal power-link quality topology control in wireless sensor networks. Sens Transducers 112(5):1\u201314","journal-title":"Sens Transducers"},{"key":"8406_CR22","unstructured":"Garey MR, Johnson DS (eds) (1979) Computers and Intractability: A Guide to the Theory of NP-Completeness. W.H. Freeman & Co Ltd, SW. H. Freeman & Co., New York"},{"key":"8406_CR23","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.adhoc.2020.102082","volume":"101","author":"F Hajjej","year":"2020","unstructured":"Hajjej F, Hamdi M, Ejbali R et al (2020) A distributed coverage hole recovery approach based on reinforcement learning for wireless sensor networks. Ad Hoc Netw 101:1\u201341. https:\/\/doi.org\/10.1016\/j.adhoc.2020.102082","journal-title":"Ad Hoc Netw"},{"issue":"12","key":"8406_CR24","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3390\/a12120247","volume":"12","author":"J Kaabi","year":"2019","unstructured":"Kaabi J (2019) Modeling and solving scheduling problem with m uniform parallel machines subject to unavailability constraints. Algorithms 12(12):1\u201311. https:\/\/doi.org\/10.3390\/a12120247","journal-title":"Algorithms"},{"issue":"3","key":"8406_CR25","doi-asserted-by":"publisher","first-page":"734","DOI":"10.1016\/j.adhoc.2021.102660","volume":"34","author":"A Katti","year":"2022","unstructured":"Katti A (2022) Target coverage in random wireless sensor networks using cover sets. J King Saud Univ Comput Inf Sci 34(3):734\u2013746. https:\/\/doi.org\/10.1016\/j.adhoc.2021.102660","journal-title":"J King Saud Univ Comput Inf Sci"},{"key":"8406_CR26","doi-asserted-by":"publisher","unstructured":"Lin HR, Cao BY, Liao YZ (2018) Fuzzy Sets Theory Preliminary-Can a Washing Machine think? China Science and Education Press. https:\/\/doi.org\/10.1007\/978-3-319-70749-5","DOI":"10.1007\/978-3-319-70749-5"},{"key":"8406_CR27","doi-asserted-by":"publisher","first-page":"2825","DOI":"10.1109\/ACCESS.2017.2785393","volume":"6","author":"Z Liu","year":"2018","unstructured":"Liu Z, Ouyang Z (2018) k-coverage estimation problem in heterogeneous camera sensor networks with boundary deployment. IEEE Access 6:2825\u20132833","journal-title":"IEEE Access"},{"issue":"107529","key":"8406_CR28","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.asoc.2021.107529","volume":"109","author":"A Mohammadi","year":"2021","unstructured":"Mohammadi A, Zahiri SH, Razavi SM et al (2021) Design and modeling of adaptive IIR filtering systems using a weighted sum-variable length particle swarm optimization. Appl Soft Comput 109(107529):1\u201315. https:\/\/doi.org\/10.1016\/j.asoc.2021.107529","journal-title":"Appl Soft Comput"},{"key":"8406_CR29","doi-asserted-by":"publisher","first-page":"428","DOI":"10.1016\/j.jksuci.2016.08.001","volume":"29","author":"A More","year":"2017","unstructured":"More A, Raisinghani V (2017) A survey on energy efficient coverage protocols in wireless sensor networks. J King Saud Univ Comput Inf Sci 29:428\u2013448. https:\/\/doi.org\/10.1016\/j.jksuci.2016.08.001","journal-title":"J King Saud Univ Comput Inf Sci"},{"key":"8406_CR30","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1080\/00207217.2019.1687759","volume":"20","author":"N Nasri","year":"2019","unstructured":"Nasri N, Mnasri S, Val T (2019) 3D node deployment strategies prediction in wireless sensors network. Int J Electron 20:1\u201319. https:\/\/doi.org\/10.1080\/00207217.2019.1687759","journal-title":"Int J Electron"},{"issue":"23","key":"8406_CR31","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s13201-021-01562-7","volume":"12","author":"K Ostad-Ali-Askari","year":"2022","unstructured":"Ostad-Ali-Askari K (2022) Management of risks substances and sustainable development. Appl Water Sci 12(23):1\u201323. https:\/\/doi.org\/10.1007\/s13201-021-01562-7","journal-title":"Appl Water Sci"},{"key":"8406_CR32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-93910-0","volume-title":"Uncertainty data in interval-valued fuzzy set theory-properties, algorithms and applications","year":"2019","unstructured":"Pekala B (ed) (2019) Uncertainty data in interval-valued fuzzy set theory-properties, algorithms and applications. Springer International Publishing, C Polish Academy of Sciences, Warsaw. https:\/\/doi.org\/10.1007\/978-3-319-93910-0"},{"key":"8406_CR33","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1049\/cmu2.12323","volume":"16","author":"A Qarehkhani","year":"2022","unstructured":"Qarehkhani A, Golsorkhtabaramiri M, Mohamadi H et al (2022) Solving the target coverage problem in multilevel wireless networks capable of adjusting the sensing angle using continuous learning automata. IET Commun 16:151\u2013163. https:\/\/doi.org\/10.1049\/cmu2.12323","journal-title":"IET Commun"},{"issue":"C","key":"8406_CR34","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1016\/j.ins.2014.08.067","volume":"292","author":"K Shi","year":"2015","unstructured":"Shi K, Chen H, Lin Y (2015) Probabilistic coverage based sensor scheduling for target tracking sensor networks. Int J Inf Sci (IS) 292(C):95\u2013110. https:\/\/doi.org\/10.1016\/j.ins.2014.08.067","journal-title":"Int J Inf Sci (IS)"},{"key":"8406_CR35","doi-asserted-by":"publisher","DOI":"10.3390\/s22051712","author":"F Tossa","year":"2022","unstructured":"Tossa F, Abdou W, Ansari K et al (2022) Area coverage maximization under connectivity constraint in wireless sensor networks. Sensors. https:\/\/doi.org\/10.3390\/s22051712","journal-title":"Sensors"},{"key":"8406_CR36","doi-asserted-by":"publisher","unstructured":"Wang Q, Qian H, Ji P et al (2015) A performance comparison study of a coverage-preserving node scheduling scheme and its enhancement in sensor networks. In: International conference on security and privacy in communication networks, pp 3\u20139. https:\/\/doi.org\/10.1007\/978-3-319-23802-9_1","DOI":"10.1007\/978-3-319-23802-9_1"},{"key":"8406_CR37","doi-asserted-by":"publisher","unstructured":"Wang Y, Wu S, Chen XZ, an Gao, et al (2017a) Coverage problem with uncertain properties in wireless sensor networks: a survey. Comput Netw 123:200\u2013232. https:\/\/doi.org\/10.1016\/j.comnet.2017.05.008","DOI":"10.1016\/j.comnet.2017.05.008"},{"key":"8406_CR38","doi-asserted-by":"publisher","unstructured":"Wang Y, Wu S, Chen Z et al (2017b) Coverage problem with uncertain properties in wireless sensor networks: a survey. Comput Netw 123:1\u201344. https:\/\/doi.org\/10.1016\/j.comnet.2017.05.008","DOI":"10.1016\/j.comnet.2017.05.008"},{"key":"8406_CR39","doi-asserted-by":"publisher","DOI":"10.1177\/1550147719826311","author":"Z Wang","year":"2019","unstructured":"Wang Z, Chen Y, Liu B et al (2019) A sensor node scheduling algorithm for heterogeneous wireless sensor networks. Int J Distrib Sens Netw. https:\/\/doi.org\/10.1177\/1550147719826311","journal-title":"Int J Distrib Sens Netw"},{"key":"8406_CR40","doi-asserted-by":"publisher","unstructured":"Wesam A, Mohammad Q, Orieb A (2019) Virtual node schedule for supporting QoS in wireless sensor network. In: IEEE Jordan international joint conference on electrical engineering and information technology (JEEIT). IEEE, pp 281\u2013285. https:\/\/doi.org\/10.1109\/JEEIT.2019.8717465","DOI":"10.1109\/JEEIT.2019.8717465"},{"key":"8406_CR41","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3390\/s17102304","volume":"17","author":"C Wu","year":"2017","unstructured":"Wu C, Wang L (2017) On efficient deployment of wireless sensors for coverage and connectivity in constrained 3D space. Sensors 17:1\u201326. https:\/\/doi.org\/10.3390\/s17102304","journal-title":"Sensors"},{"key":"8406_CR42","doi-asserted-by":"publisher","first-page":"1324","DOI":"10.1109\/JSEN.2017.2782805","volume":"18","author":"K Youngjoon","year":"2018","unstructured":"Youngjoon K, Byeongho L, Hyoungmin S et al (2018) Localization technique considering position uncertainty of reference nodes in wireless sensor networks. IEEE Sens J 18:1324\u20131332. https:\/\/doi.org\/10.1109\/JSEN.2017.2782805","journal-title":"IEEE Sens J"}],"container-title":["Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-023-08406-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00500-023-08406-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-023-08406-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,6]],"date-time":"2023-06-06T13:53:47Z","timestamp":1686059627000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00500-023-08406-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5,23]]},"references-count":42,"journal-issue":{"issue":"14","published-print":{"date-parts":[[2023,7]]}},"alternative-id":["8406"],"URL":"https:\/\/doi.org\/10.1007\/s00500-023-08406-3","relation":{"has-preprint":[{"id-type":"doi","id":"10.21203\/rs.3.rs-1348015\/v1","asserted-by":"object"}]},"ISSN":["1432-7643","1433-7479"],"issn-type":[{"value":"1432-7643","type":"print"},{"value":"1433-7479","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,5,23]]},"assertion":[{"value":"1 May 2023","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 May 2023","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no conflict of interest or competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"This article does not contain any studies with human or animals performed by any of the authors.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"No human were involved.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed consent"}}]}}