{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,20]],"date-time":"2026-01-20T23:38:15Z","timestamp":1768952295963,"version":"3.49.0"},"reference-count":61,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2021,12,28]],"date-time":"2021-12-28T00:00:00Z","timestamp":1640649600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>The emergence of Industry 4.0 technologies, such as the Internet of Things (IoT) and Wireless Sensor Networks (WSN), has prompted a reconsideration of methodologies for network security as well as reducing operation and maintenance costs, especially at the physical layer, where the energy consumption plays an important role. This article demonstrates through simulations and experiments that, while the cooperative scheme is more efficient when a WSN is at normal operating conditions, the collaborative scheme offers more enhanced protection against the aggressiveness of jamming in the performance metrics, thus making it safer, reducing operation and maintenance costs and laying the foundations for jamming mitigation. This document additionally offers an algorithm to detect jamming in real time. Firstly, it examines the characteristics and damages caused by the type of aggressor. Secondly, it reflects on the natural immunity of the WSN (which depends on its node density and a cooperative or collaborative configuration). Finally, it considers the performance metrics, especially those that impact energy consumption during transmission.<\/jats:p>","DOI":"10.3390\/s22010178","type":"journal-article","created":{"date-parts":[[2021,12,28]],"date-time":"2021-12-28T06:55:03Z","timestamp":1640674503000},"page":"178","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["Performance Metric Analysis for a Jamming Detection Mechanism under Collaborative and Cooperative Schemes in Industrial Wireless Sensor Networks"],"prefix":"10.3390","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2702-8874","authenticated-orcid":false,"given":"Alejandro","family":"Cort\u00e9s-Leal","sequence":"first","affiliation":[{"name":"Facultad de Ingenier\u00eda, Universidad Panamericana, \u00c1lvaro del Portillo 49, Zapopan 45010, Jalisco, Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0272-3275","authenticated-orcid":false,"given":"Carolina","family":"Del-Valle-Soto","sequence":"additional","affiliation":[{"name":"Facultad de Ingenier\u00eda, Universidad Panamericana, \u00c1lvaro del Portillo 49, Zapopan 45010, Jalisco, Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4338-5903","authenticated-orcid":false,"given":"Cesar","family":"Cardenas","sequence":"additional","affiliation":[{"name":"Tecnologico de Monterrey, Universidad Internacional de La Rioja (UNIR) en Mexico, Mexico City 03600, Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7545-7441","authenticated-orcid":false,"given":"Leonardo J.","family":"Valdivia","sequence":"additional","affiliation":[{"name":"Facultad de Ingenier\u00eda, Universidad Panamericana, \u00c1lvaro del Portillo 49, Zapopan 45010, Jalisco, Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4039-1694","authenticated-orcid":false,"given":"Jose Alberto","family":"Del Puerto-Flores","sequence":"additional","affiliation":[{"name":"Facultad de Ingenier\u00eda, Universidad Panamericana, \u00c1lvaro del Portillo 49, Zapopan 45010, Jalisco, Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,12,28]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"616","DOI":"10.1109\/COMST.2019.2953364","article-title":"Security of the Internet of Things: Vulnerabilities, attacks, and countermeasures","volume":"22","author":"Butun","year":"2019","journal-title":"IEEE Commun. Surv. Tutor."},{"key":"ref_2","first-page":"80","article-title":"The blockchain: State-of-the-art and research challenges","volume":"15","author":"Lu","year":"2019","journal-title":"J. Ind. Inf. Integr."},{"key":"ref_3","unstructured":"Forum, W.E. (2021, December 21). The Global Risks Report 2020. Available online: https:\/\/www.weforum.org\/reports\/the-global-risks-report-2020.html."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"28","DOI":"10.11648\/j.ajnc.20130202.12","article-title":"Defending WSNs against jamming attacks","volume":"2","author":"Alazemi","year":"2013","journal-title":"Am. J. Networks Commun."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1016\/j.jmsy.2018.04.007","article-title":"Security of smart manufacturing systems","volume":"47","author":"Tuptuk","year":"2018","journal-title":"J. Manuf. Syst."},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Dargie, W., and Poellabauer, C. (2010). Fundamentals of Wireless Sensor Networks: Theory and Practice, John Wiley & Sons.","DOI":"10.1002\/9780470666388"},{"key":"ref_7","unstructured":"Singal, T. (2010). Wireless Communications, Tata McGraw-Hill Education."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Ever, E. (2019). Performability analysis methods for clustered WSNs as enabling technology for IoT. Performability in Internet of Things, Springer.","DOI":"10.1007\/978-3-319-93557-7_1"},{"key":"ref_9","unstructured":"Morgan, S. (2021, December 21). Global Cybercrime Damages Predicted To Reach $6 Trillion Annually By 2021. Available online: https:\/\/cybersecurityventures.com\/cybercrime-damages-6-trillion-by-2021\/."},{"key":"ref_10","unstructured":"MarketsandMarkets (2021, December 21). Anti-Jamming Market Size, Trends and Global Forecast to 2025. Available online: https:\/\/www.marketsandmarkets.com\/Market-Reports\/anti-jamming-gps-market-109743417.html."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"197","DOI":"10.1504\/IJAHUC.2014.066419","article-title":"Jamming and anti\u2013jamming techniques in wireless networks: A survey","volume":"17","author":"Grover","year":"2014","journal-title":"Int. J. Hoc Ubiquitous Comput."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Feng, Z., and Hua, C. (2018, January 18\u201319). Machine learning-based rf jamming detection in wireless networks. Proceedings of the 2018 Third International Conference on Security of Smart Cities, Industrial Control System and Communications (SSIC), Shanghai, China.","DOI":"10.1109\/SSIC.2018.8556709"},{"key":"ref_13","first-page":"74","article-title":"Jamming Attack\u2013A Survey","volume":"5","author":"Sharma","year":"2018","journal-title":"Int. J. Recent Res. Asp."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"3444","DOI":"10.3390\/s100403444","article-title":"Information warfare-worthy jamming attack detection mechanism for wireless sensor networks using a fuzzy inference system","volume":"10","author":"Misra","year":"2010","journal-title":"Sensors"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1109\/SURV.2009.090404","article-title":"A survey on jamming attacks and countermeasures in WSNs","volume":"11","author":"Mpitziopoulos","year":"2009","journal-title":"IEEE Commun. Surv. Tutor."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"170","DOI":"10.1504\/IJMOR.2020.109700","article-title":"Intelligent sensor impact on predictive maintenance program costs","volume":"17","author":"Sadiki","year":"2020","journal-title":"Int. J. Math. Oper. Res."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1016\/j.pmcj.2016.10.001","article-title":"Instrumenting Wireless Sensor Networks\u2014A survey on the metrics that matter","volume":"37","author":"Yuan","year":"2017","journal-title":"Pervasive Mob. Comput."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Del-Valle-Soto, C., Vel\u00e1zquez, R., Valdivia, L.J., Giannoccaro, N.I., and Visconti, P. (2020). An energy model using sleeping algorithms for wireless sensor networks under proactive and reactive protocols: A performance evaluation. Energies, 13.","DOI":"10.3390\/en13113024"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"955","DOI":"10.1109\/TMC.2010.35","article-title":"Radio sleep mode optimization in wireless sensor networks","volume":"9","author":"Jurdak","year":"2010","journal-title":"IEEE Trans. Mob. Comput."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Osanaiye, O., Alfa, A.S., and Hancke, G.P. (2018). A statistical approach to detect jamming attacks in wireless sensor networks. Sensors, 18.","DOI":"10.3390\/s18061691"},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"\u00c7akiro\u01e7lu, M., and \u00d6zcerit, A.T. (2008, January 4\u20136). Jamming detection mechanisms for wireless sensor networks. Proceedings of the 3rd International Conference on Scalable Information Systems, Brussels, Belgium.","DOI":"10.4108\/ICST.INFOSCALE2008.3484"},{"key":"ref_22","unstructured":"Kannan, S., and Philip, L. (2006, January 30\u201331). RSSI is under appreciated. Proceedings of the 3rd Workshop on Embedded Networked Sensors, Cambridge, MA, USA."},{"key":"ref_23","unstructured":"Saif, S. (2016). Analysis of Jamming Attacks on Wireless Sensor Networks, University of Hertfordshire."},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Manju, V., and Sasi, K.M. (2012, January 6\u20138). Detection of jamming style DoS attack in Wireless Sensor Network. Proceedings of the 2012 2nd IEEE International Conference on Parallel, Distributed and Grid Computing, Solan, India.","DOI":"10.1109\/PDGC.2012.6449882"},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Ranjan, A., Sahu, H.B., Misra, P., Zhao, Y., and Sun, H. (2020, January 6\u20139). RSSI or LQI: Insights from real-time deployments for underground sensing and applications. Proceedings of the IEEE INFOCOM 2020-IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), Toronto, ON, Canada.","DOI":"10.1109\/INFOCOMWKSHPS50562.2020.9162754"},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Kuzminykh, I., Carlsson, A., Yevdokymenko, M., and Sokolov, V. (2019). Investigation of the IoT device lifetime with secure data transmission. Internet of Things, Smart Spaces, and Next Generation Networks and Systems, Springer.","DOI":"10.1007\/978-3-030-30859-9_2"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"101874","DOI":"10.1016\/j.adhoc.2019.101874","article-title":"Detection of jamming attack using timestamp for WSN","volume":"91","author":"Rose","year":"2019","journal-title":"Ad Hoc Netw."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"2655","DOI":"10.1007\/s00500-018-3636-5","article-title":"An adaptive neuro-fuzzy logic based jamming detection system in WSN","volume":"23","author":"Vijayakumar","year":"2019","journal-title":"Soft Comput."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Kanagasabapathy, P.M.K., Kedalu Poornachary, V., Murugan, S., Natesan, A., and Ponnusamy, V. (2019). Rapid jamming detection approach based on fuzzy in WSN. Int. J. Commun. Syst., e4205.","DOI":"10.1002\/dac.4205"},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Corral-Molina, C., and Valencia-Cordero, C. (2021, January 22\u201326). BER and SNR based physical layer security analysis with cooperative Jamming. Proceedings of the 2021 IEEE International Conference on Automation\/XXIV Congress of the Chilean Association of Automatic Control (ICA-ACCA), Valparaiso, Chile.","DOI":"10.1109\/ICAACCA51523.2021.9465237"},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Xu, W., Trappe, W., Zhang, Y., and Wood, T. (2005, January 25\u201327). The feasibility of launching and detecting jamming attacks in wireless networks. Proceedings of the 6th ACM International Symposium on Mobile Ad Hoc Networking and Computing, Urbana, IL, USA.","DOI":"10.1145\/1062689.1062697"},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Muraleedharan, R., and Osadciw, L.A. (2006, January 17\u201321). Jamming attack detection and countermeasures in wireless sensor network using ant system. Proceedings of the Wireless Sensing and Processing, Kissimmee, FL, USA.","DOI":"10.1117\/12.666330"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"92","DOI":"10.1109\/MCOM.2018.1700399","article-title":"A hierarchical jammed-area mapping service for ubiquitous communication in smart communities","volume":"56","author":"Han","year":"2018","journal-title":"IEEE Commun. Mag."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/1824766.1824772","article-title":"Detection of reactive jamming in sensor networks","volume":"7","author":"Strasser","year":"2010","journal-title":"ACM Trans. Sens. Netw."},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Shin, I., Shen, Y., Xuan, Y., Thai, M.T., and Znati, T. (2009, January 18). Reactive jamming attacks in multi-radio wireless sensor networks: An efficient mitigating measure by identifying trigger nodes. Proceedings of the 2nd ACM international workshop on Foundations of Wireless Ad Hoc and Sensor Networking and Computing, New Orleans, LA, USA.","DOI":"10.1145\/1540343.1540357"},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Broustis, I., Pelechrinis, K., Syrivelis, D., Krishnamurthy, S.V., and Tassiulas, L. (2009). FIJI: Fighting Implicit Jamming in 802.11 WLANs, Springer. International Conference on Security and Privacy in Communication Systems.","DOI":"10.1007\/978-3-642-05284-2_2"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"286","DOI":"10.1109\/TNET.2010.2068576","article-title":"Cross-layer jamming detection and mitigation in wireless broadcast networks","volume":"19","author":"Chiang","year":"2010","journal-title":"IEEE\/ACM Trans. Netw."},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Lazos, L., Liu, S., and Krunz, M. (2009, January 16\u201319). Mitigating control-channel jamming attacks in multi-channel ad hoc networks. Proceedings of the the Second ACM Conference on Wireless Network Security, Zurich, Switzerland.","DOI":"10.1145\/1514274.1514299"},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Thamilarasu, G., and Sridhar, R. (2009, January 3\u20136). Game theoretic modeling of jamming attacks in ad hoc networks. Proceedings of the 2009 Proceedings of 18th International Conference on Computer Communications and Networks, San Francisco, CA, USA.","DOI":"10.1109\/ICCCN.2009.5235211"},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Bhoyar, D.G., and Yadav, U. (2017, January 17\u201318). Review of jamming attack using game theory. Proceedings of the 2017 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS), Coimbatore, India.","DOI":"10.1109\/ICIIECS.2017.8276173"},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Heurtefeux, K., and Valois, F. (2012, January 26\u201329). Is RSSI a good choice for localization in wireless sensor network?. Proceedings of the 2012 IEEE 26th International Conference on Advanced Information Networking and Applications, Fukuoka, Japan.","DOI":"10.1109\/AINA.2012.19"},{"key":"ref_42","unstructured":"Cloudrf (2020, November 08). Modelling The Bit Error Rate (BER). Available online: https:\/\/cloudrf.com\/modelling-the-bit-error-rate-ber\/."},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Mohanty, S., and Patra, S. (2010, January 26\u201327). Performance analysis of quality of service parameters for IEEE 802.15. 4 star topology using MANET routing. Proceedings of the International Conference and Workshop on Emerging Trends in Technology, Mumbai Maharashtra, India.","DOI":"10.1145\/1741906.1741926"},{"key":"ref_44","first-page":"5931","article-title":"Design Criteria and Challenges of Industrial Wireless Sensor Network","volume":"5","author":"Velmani","year":"2014","journal-title":"(IJCSIT) Int. J. Comput. Sci. Inf. Technol."},{"key":"ref_45","first-page":"1","article-title":"Active defense strategy against jamming attack in wireless sensor networks","volume":"11","author":"Hassanpour","year":"2019","journal-title":"Int. J. Comput. Netw. Inf. Secur."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"1619","DOI":"10.1007\/s11277-018-5779-1","article-title":"An unequal cluster-radius approach based on node density in clustering for wireless sensor networks","volume":"101","author":"Hamidzadeh","year":"2018","journal-title":"Wirel. Pers. Commun."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1080\/14488388.2020.1811454","article-title":"Energy-efficient density-based Fuzzy C-means clustering in WSN for smart grids","volume":"17","author":"Kalaimani","year":"2021","journal-title":"Aust. J.-Multi-Discip. Eng."},{"key":"ref_48","doi-asserted-by":"crossref","unstructured":"Sohraby, K., Minoli, D., and Znati, T. (2007). Wireless Sensor Networks: Technology, Protocols, and Applications, John Wiley & Sons.","DOI":"10.1002\/047011276X"},{"key":"ref_49","unstructured":"Ramson, S.J., and Moni, D.J. (2017, January 3\u20134). Applications of wireless sensor networks\u2014A survey. Proceedings of the 2017 International Conference on Innovations in Electrical, Electronics, Instrumentation and Media Technology (ICEEIMT), Coimbatore, India."},{"key":"ref_50","unstructured":"G\u00fcng\u00f6r, V.\u00c7., and Hancke, G.P. (2013). Industrial Wireless Sensor Networks: Applications, Protocols, and Standards, CRC Press."},{"key":"ref_51","doi-asserted-by":"crossref","unstructured":"Del-Valle-Soto, C., Valdivia, L.J., Vel\u00e1zquez, R., Rizo-Dominguez, L., and L\u00f3pez-Pimentel, J.C. (2019). Smart campus: An experimental performance comparison of collaborative and cooperative schemes for wireless sensor network. Energies, 12.","DOI":"10.3390\/en12163135"},{"key":"ref_52","doi-asserted-by":"crossref","unstructured":"Mikhaylov, K., Tervonen, J., Heikkil\u00e4, J., and K\u00e4ns\u00e4koski, J. (2012, January 25\u201327). Wireless sensor networks in industrial environment: Real-life evaluation results. Proceedings of the 2012 2nd Baltic Congress on Future Internet Communications, Vilnius, Lithuania.","DOI":"10.1109\/BCFIC.2012.6217971"},{"key":"ref_53","doi-asserted-by":"crossref","unstructured":"Bout, E., Loscri, V., and Gallais, A. (2020, January 14\u201316). Energy and Distance evaluation for Jamming Attacks in wireless networks. Proceedings of the 2020 IEEE\/ACM 24th International Symposium on Distributed Simulation and Real Time Applications (DS-RT), Prague, Czech Republic.","DOI":"10.1109\/DS-RT50469.2020.9213652"},{"key":"ref_54","first-page":"3","article-title":"When poll is better than interrupt","volume":"12","author":"Yang","year":"2012","journal-title":"FAST"},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"596397","DOI":"10.1155\/2011\/596397","article-title":"Evaluating IEEE 802.15. 4 for cyber-physical systems","volume":"2011","author":"Xia","year":"2011","journal-title":"EURASIP J. Wirel. Commun. Netw."},{"key":"ref_56","doi-asserted-by":"crossref","unstructured":"Salman, N., Rasool, I., and Kemp, A.H. (2010, January 19\u201322). Overview of the IEEE 802.15. 4 standards family for low rate wireless personal area networks. Proceedings of the 7th International Symposium on Wireless Communication Systems (ISWCS), York, UK.","DOI":"10.1109\/ISWCS.2010.5624516"},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1109\/MCOM.2018.1700615","article-title":"An SNR-assured anti-jamming routing protocol for reliable communication in industrial wireless sensor networks","volume":"56","author":"Liu","year":"2018","journal-title":"IEEE Commun. Mag."},{"key":"ref_58","unstructured":"Kim, C. (2021, December 21). Measuring Power Consumption of CC2530 With Z-Stack. Available online: https:\/\/www.ti.com\/lit\/pdf\/swra292."},{"key":"ref_59","first-page":"96","article-title":"Taxonomy classification and comparison of routing protocol based on energy efficient rate","volume":"3","author":"Smys","year":"2021","journal-title":"J. ISMAC"},{"key":"ref_60","doi-asserted-by":"crossref","unstructured":"Tang, L., Lu, Z., and Fan, B. (2020). Energy efficient and reliable routing algorithm for wireless sensors networks. Appl. Sci., 10.","DOI":"10.3390\/app10051885"},{"key":"ref_61","unstructured":"Tob\u00f3n, S.T., Prieto, J.H.P., and Fraile, J.A.G. (2010). Secuencias Did\u00e1cticas: Aprendizaje y Evaluaci\u00f3n de Competencias, Pearson Educaci\u00f3n."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/22\/1\/178\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T07:54:51Z","timestamp":1760169291000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/22\/1\/178"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,28]]},"references-count":61,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2022,1]]}},"alternative-id":["s22010178"],"URL":"https:\/\/doi.org\/10.3390\/s22010178","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,12,28]]}}}