Abstract
Wireless sensor networks (WSNs) have been considered as one of the fine research areas in recent years because of vital role in numerous applications. To process the extracted data and transmit it to the various location, a large number of nodes must be deployed in a proper way because deployment is one of the major issues in WSNs. Hence, the minimum number of node deployment to attain full coverage is of enormous significance for research. The prime agenda of the presented paper is to categorize various coverage techniques into four major parts: computational geometry-based techniques, force-based techniques, grid-based techniques, and metaheuristic-based techniques. Additionally, several comparisons amid these schemes are provided in view of their benefits and drawbacks. Our discussion weighs on the classification of coverage, practical challenges in the deployment of WSNs, sensing models, and research issues in WSNs. Moreover, a detailed analysis of performance metrics and comparison among various WSNs simulators is listed. In conclusion, standing research issues along with potential work guidelines are discussed.
Similar content being viewed by others
References
Yaqoob I et al (2017) Internet of things architecture: recent advances, taxonomy, requirements, and open challenges. IEEE Wirel Commun 24:10–16
Husain S, Prasad A, Kunz A, Papageorgiou A, Song J (2015) Recent trends in standards related to the internet of things and machine-to-machine communications. J Inf Commun Converg Eng 12:228–236
Almonacid V, Franck L (2017) Extending the coverage of the internet of things with low-cost nanosatellite networks. Acta Astronaut 138:95–101
Rawat P, Singh KD, Chaouchi H, Bonnin JM (2014) Wireless sensor networks: a survey on recent developments and potential synergies. J Supercomput 68:1–48
Gherbi C, Aliouat Z, Benmohammed M (2017) A survey on clustering routing protocols in wireless sensor networks. Sensor Rev 37(1):12–25
Liu Y (2012) Wireless sensor network applications in smart grid: recent trends and challenges. Int J Distrib Sens Netw 8:492819
Yick J, Mukherjee B, Ghosal D (2008) Wireless sensor network survey. Comput Netw 52:2292–2330
Zheng J, Jamalipour A (2009) Wireless sensor networks: a networking perspective. John Wiley & Sons
Dulman SO, Chatterjea S, Havinga PJ (2005) Introduction to wireless sensor networks. In: Embedded systems handbook. Taylor & Francis CRC Press, pp 31
Rashid B, Rehmani MH (2016) Applications of wireless sensor networks for urban areas: a survey. J Netw Comput Appl 60:192–219
Pule M, Yahya A, Chuma J (2017) Wireless sensor networks: a survey on monitoring water quality. J Appl Res Technol 15:562–570
Mohd Kassim MR, Mat I, Harun AN (2014) Wireless sensor network in precision agriculture application. In: 2014 International Conference on Computer, Information and Telecommunication Systems, CITS 2014
Abdollahzadeh S, Navimipour NJ (2016) Deployment strategies in the wireless sensor network: a comprehensive review. Comput Commun 91–92:1–16
Zhang H, Hou JC (2006) Is deterministic deployment worse than random deployment for wireless sensor networks? In: Proceedings—IEEE INFOCOM
Aznoli F, Navimipour NJ (2017) “Deployment strategies in the wireless sensor networks: systematic literature review, classification, and current trends. Wirel Pers Commun 95:819–846
Sharma V, Patel RB, Bhadauria HS, Prasad D (2016) Deployment schemes in wireless sensor network to achieve blanket coverage in large-scale open area: a review. Egypt Inform J 17(1):45–56
Felemban E (2013) Advanced border intrusion detection and surveillance using wireless sensor network technology. Int J Commun Netw Syst Sci 6:251
Yang J, Zhang C, Li X, Huang Y, Fu S, Acevedo MF (2010) Integration of wireless sensor networks in environmental monitoring cyber infrastructure. Wirel Netw 16:1091–1108
Chen D, Liu Z, Wang L, Dou M, Chen J, Li H (2013) Natural disaster monitoring with wireless sensor networks: a case study of data-intensive applications upon low-cost scalable systems. Mob Netw Appl 18:651–663
Wang H, Wang J, Huang M (2013) Building a smart home system with WSN and service robot. In Proceedings—2013 5th Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2013
Chang YJ, Chen CH, Lin LF, Han RP, Huang WT, Lee GC (2012) Wireless sensor networks for vital signs monitoring: application in a nursing home. Int J Distrib Sens Netw 8:685107
Koushanfar F, Potkonjak M, Sangiovanni-Vincentelli A (2004) Fault tolerance in wireless sensor networks. In: Handbook of sensor networks: compact wireless and wired sensing systems
Liang Y, Li Y (2014) An efficient and robust data compression algorithm in wireless sensor networks. IEEE Commun Lett 18:139–442
Anisi MH, Abdul-Salaam G, Idris MYI, Wahab AWA, Ahmedy I (2017) Energy harvesting and battery power based routing in wireless sensor networks. Wirel Netw 23:249–266
Alrajeh NA, Bashir M, Shams B (2013) Localization techniques in wireless sensor networks. Int J Distrib Sens Netw 9:304628
Senouci MR, Mellouk A (2016) 2—Random deployment. In: Senouci MR, Mellouk A (eds) Deploying wireless sensor networks. Elsevier, Amsterdam, pp 21–34
Senouci MR, Mellouk A (2016) 3—Deterministic deployment. In: Senouci MR, Mellouk A (eds) Deploying wireless sensor networks. Elsevier, Amsterdam, pp 35–59
Zhu C, Zheng C, Shu L, Han G (2012) A survey on coverage and connectivity issues in wireless sensor networks. J Netw Comput Appl 35:619–632
Pereira F, Correia R, Carvalho NB (2018) Comparison of active and passive sensors for IoT applications. In: 2018 IEEE Wireless Power Transfer Conference (WPTC), pp 1–3
Akan O, Talha Isik M, Baykal B (2009) Wireless passive sensor networks. IEEE Commun Mag 47:92–99
Wang Y, Zhang Y, Liu J, Bhandari R (2015) Coverage, connectivity, and deployment in wireless sensor networks. Recent development in wireless sensor and ad-hoc networks. Springer, New Delhi, pp 25–44
Doraipandian M, Neelamegam P (2013) Wireless sensor network using ARM processors: a review in hardware perspective. Int J Embed Real Time Commun Syst 4(4):48–59
Pathak M (2013) An approach to memory management in wireless sensor networks. Int J Comput Sci Eng Technol 4(08):1171–1176
Hossain A, Biswas PK, Chakrabarti S (2008) Sensing models and its impact on network coverage in wireless sensor network. In: 2008 IEEE Region 10 and the Third international Conference on Industrial and Information Systems, pp 1–5
Sharma V, Patel RB, Bhadauria HS, Prasad D (2016) Deployment schemes in wireless sensor network to achieve blanket coverage in large-scale open area: a review. Egypt Inform J 17:45–56
Yu CW, Yu K, So W, Lin C, Lin CY (2011) Target coverage in wireless sensor networks. In: 2011 Seventh International Conference on Mobile Ad hoc and Sensor Networks, pp 408–412
Kumar S, Lai TH, Arora A (2005) Barrier coverage with wireless sensors. In: Proceedings of the 11th Annual International Conference on Mobile Computing and Networking. ACM, pp 284–298
Liu L, Xia F, Wang Z, Chen J, Sun Y (2005) Deployment issues in wireless sensor networks. In: Mobile Ad hoc and Sensor Networks, pp. 239–248
Senouci M, Mellouk A, Aissani A (2014) Random deployment of wireless sensor networks: a survey and approach. Int J Ad Hoc Ubiquitous Comput 15:133–146
Silva R, Sa Silva J, Boavida F (2014) Mobility in wireless sensor networks—survey and proposal. Comput Commun 2014(52):1–20
Ramasamy V (2017) Mobile wireless sensor networks: an overview. In: Wireless Sensor Networks—Insights and Innovations
Han K, Xiang L, Luo J, Liu Y (2012) Minimum-energy connected coverage in wireless sensor networks with omni-directional and directional features. In: Proceedings of the Thirteenth ACM International Symposium on Mobile Ad Hoc Networking and Computing, pp 85–94
Shah B, IlKim K (2014) A survey on three-dimensional wireless ad hoc and sensor networks. Int J Distrib Sens Netw 10:616014
Gupta HP, Rao SV, Venkatesh T (2016) Analysis of stochastic coverage and connectivity in three-dimensional heterogeneous directional wireless sensor networks. Pervasive Mob Comput 29:38–56
Buranapanichkit D, Vittorioso A, Fortino G, Andreopoulos Y (2011) Comparison between centralized and distributed coordination for TDMA operation in wireless sensor networks. In London communications symposium
So AMC, Ye Y (2005) On solving coverage problems in a wireless sensor network using voronoi diagrams. In: Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Carbunar B, Grama A, Vitek J, Carbunar O (2004) Coverage preserving redundancy elimination in sensor networks. In: 2004 First Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks, 2004. IEEE SECON 2004. IEEE, pp 377–386
Cărbunar B, Grama A, Vitek J, Cărbunar O (2006) Redundancy and coverage detection in sensor networks. ACM Trans Sens Netw 2:94–128
Ghosh A (2004) Estimating coverage holes and enhancing coverage in mixed sensor networks. In: Proceedings—Conference on Local Computer Networks, LCN
Ghosh A, Das SK (2005) A distributed greedy algorithm for connected sensor cover in dense sensor networks. In: International Conference on Distributed Computing in Sensor Systems. Springer, Berlin, Heidelberg, pp 340–353
Jiang J, Song Z, Zhang H, Dou W (2005) Voronoi-based improved algorithm for connected coverage problem in wireless sensor networks. In: Embedded and ubiquitous computing—EUC 2005, pp 224–233
Boukerche A, Xin F (2007) A Voronoi approach for coverage protocols in wireless sensor networks. In: GLOBECOM—IEEE Global Telecommunications Conference
Wang G, Cao G, La Porta T (2004) Movement-assisted sensor deployment. In: Proceedings—IEEE INFOCOM
Tan Q et al (2015) Energy harvesting aware topology control with power adaptation in wireless sensor networks. Ad Hoc Netw 24:44–56
Wei W, Sun Z, Song H, Wang H, Fan X, Chen X (2018) Energy balance-based steerable arguments coverage method in WSNs. IEEE Access 6:33766–33773
Han G, Liu L, Jiang J, Shu L, Hancke G (2017) Analysis of energy-efficient connected target coverage algorithms for industrial wireless sensor networks. IEEE Trans Ind Inform 13:135–143
Al-Karaki JN, Gawanmeh A (2017) The optimal deployment, coverage, and connectivity problems in wireless sensor networks: revisited. IEEE Access 5:18051–18065
Khalifa B, AlAghbari Z, Khedr AM, Abawajy JH (2017) Coverage hole repair in WSNs using cascaded neighbor intervention. IEEE Sens J 17:7209–7216
Gupta HP, Rao SV, Venkatesh T (2016) Sleep scheduling protocol for κ-coverage of three-dimensional heterogeneous WSNs. IEEE Trans Veh Technol 65:8423–8431
Cho HH, Shih TK, Chao HC (2016) A robust coverage scheme for UWSNs using the spline function. IEEE Sens J 16:3995–4002
Bao FS et al (2016) Coverage-based lossy node localization for wireless sensor networks. IEEE Sens J 16(11):4648–4656
Farsi M, El-Hosseini M, Badawy M, Arafat H, Zaineldin H (2019) Deployment techniques in wireless sensor networks, coverage and connectivity: a survey. IEEE Access 7:28940–28954
Yu X, Liu N, Huang W, Qian X, Zhang T (2013) A node deployment algorithm based on van der Waals force in wireless sensor networks. Int J Distrib Sens Netw 9:505710
Lee DT, Schachter BJ (1980) Two algorithms for constructing a Delaunay triangulation. Int J Comput Inf Sci 9:219–242
Abidin HZ, Din NM, Radzi NAM, Rizman ZI (2017) A review on sensor node placement techniques in wireless sensor networks. Int J Adv Sci Eng Inf Technol 7(1):190–197
Wang X, Wang S (2011) Hierarchical deployment optimization for wireless sensor networks. IEEE Trans Mob Comput 10:1028–1041
Mougou K, Mahfoudh S, Minet P, Laouiti A (2012) Redeployment of randomly deployed wireless mobile sensor nodes. In: IEEE Vehicular Technology Conference
Al-Turjman F, Hassanein HS, Ibnkahla M (2017) Quantifying connectivity in wireless sensor networks with grid-based deployments. In: Cognitive Sensors and IoT: Architecture, Deployment, and Data Delivery
Kim YH, Kim CM, Yang DS, Oh YJ, Han YH (2012) Regular sensor deployment patterns for p-coverage and q-connectivity in wireless sensor networks. In: The International Conference on Information Network, pp 290–295
Liu Y, Suo L, Sun D, Wang A (2013) A virtual square grid-based coverage algorithm of redundant node for wireless sensor network. J Netw Comput Appl 36:811–817
Maksimović M, Milošević V (2016) Evaluating the optimal sensor placement for smoke detection. Yugosl J Oper Res 26(1):33–50
Fortune S (1995) Voronoi diagrams and Delaunay triangulations. In: Computing in Euclidean geometry, pp. 225–265
Qiu C, Shen H, Chen K (2018) An energy-efficient and distributed cooperation mechanism for k-coverage hole detection and healing in WSNs. IEEE Trans Mob Comput 17:1247–1259
Pananjady A, Bagaria VK, Vaze R (2017) Optimally approximating the coverage lifetime of wireless sensor networks. IEEE/ACM Trans Netw 25:98–111
Alam SM, Haas ZJ (2006) Coverage and connectivity in three-dimensional networks. In: Proceedings of the 12th Annual International Conference on Mobile Computing and Networking. ACM, pp 346–357
Li W, Zhang W (2012) Coverage analysis and active scheme of wireless sensor networks. IET Wirel Sens Syst 2:86–91
Mahboubi H, Aghdam AG (2017) Distributed deployment algorithms for coverage improvement in a network of wireless mobile sensors: relocation by virtual force. IEEE Trans Control Netw Syst 4:736–748
Stergiopoulos Y, Kantaros Y, Tzes A (2012) Connectivity-aware coordination of robotic networks for area coverage optimization. In: 2012 IEEE International Conference on Industrial Technology, pp 31–35
Habibi J, Mahboubi H, Aghdam AG (2017) A gradient-based coverage optimization strategy for mobile sensor networks. IEEE Trans Control Netw Syst 4:477–488
Deng X, Tang Z, Yang LT, Lin M, Wang B (2018) Confident information coverage hole healing in hybrid industrial wireless sensor networks. IEEE Trans Ind Inform 14:2220–2229
Abbasi F, Mesbahi A, Mohammadpour Velni J (2019) A new voronoi-based blanket coverage control method for moving sensor networks. IEEE Trans Control Syst Technol 27:409–417
Dash D, Dasgupta A (2017) Distributed restoring of barrier coverage in wireless sensor networks using limited mobility sensors. IET Wirel Sens Syst 7(6):198–207
Sakai K, Te Sun M, Ku WS, Lai TH, Vasilakos AV (2015) A framework for the optimal k-coverage deployment patterns of wireless sensors. IEEE Sens J 15:7273–7283
Liao Z, Wang J, Zhang S, Cao J, Min G (2015) Minimizing movement for target coverage and network connectivity in mobile sensor networks. IEEE Trans Parallel Distrib Syst 26:1971–1983
Stergiopoulos Y, Thanou M, Tzes A (2015) Distributed collaborative coverage-control schemes for non-convex domains. IEEE Trans Automat Control 60:2422–2427
Yang C, Chin K (2017) On nodes placement in energy harvesting wireless sensor networks for coverage and connectivity. IEEE Trans Ind Inform 13(1):27–36
Habibi J, Mahboubi H, Aghdam AG (2016) Distributed coverage control of mobile sensor networks subject to measurement error. IEEE Trans Automat Control 61:3330–3343
Yu J, Wan S, Cheng X, Yu D (2017) Coverage contribution area based k-coverage for wireless sensor networks. IEEE Trans Veh Technol 66(9):8510–8523
Wu H, Shahidehpour M (2018) Applications of wireless sensor networks for area coverage in microgrids. IEEE Trans Smart Grid 9:1590–1598
Sung T-W, Yang C-S (2014) Voronoi-based coverage improvement approach for wireless directional sensor networks. J Netw Comput Appl 39:202–213
Tsai CW, Tsai PW, Pan JS, Chao HC (2015) Metaheuristics for the deployment problem of WSN: a review. Microprocess Microsyst 39:1305–1317
Gupta SK, Kuila P, Jana PK (2016) Genetic algorithm for k-connected relay node placement in wireless sensor networks. In: Advances in Intelligent Systems and Computing
Eberhart R, Kennedy J (1995) A new optimizer using particle swarm theory. In: MHS'95. Proceedings of the Sixth International Symposium on Micro Machine and Human Science. IEEE, pp 39–43
Fan Z, Zhao W (2011) Network coverage optimization strategy in wireless sensor networks based on particle swarm optimization
Karaboga D (2005) An idea based on honey bee swarm for numerical optimization. Tech Rep TR06 Erciyes Univ 200:1–10
Öztürk C, Karaboǧa D, Görkemli B (2012) Artificial bee colony algorithm for dynamic deployment of wireless sensor networks. Turk J Electr Eng Comput Sci 20(2):255–262
Dorigo M, Blum C (2005) Ant colony optimization theory: a survey. Theor Comput Sci 344(2–3):243–278
Liao WH, Kao Y, Wu RT (2011) Ant colony optimization based sensor deployment protocol for wireless sensor networks. Expert Syst Appl 38(6):6599–6605
Du KL, Swamy MNS (2016) Search and optimization by metaheuristics: techniques and algorithms inspired by nature. Birkhauser, Basel, Switzerland
El Khamlichi Y, Tahiri A, Abtoy A, Medina-Bulo I, Palomo-Lozano F (2017) A hybrid algorithm for optimal wireless sensor network deployment with the minimum number of sensor nodes. Algorithms 10:80
Gandomi AH, Alavi AH (2012) Krill herd: a new bio-inspired optimization algorithm. Commun Nonlinear Sci Numer Simul 17:4831–4845
Wang GG, Gandomi AH, Alavi AH (2014) Stud krill herd algorithm. Neurocomputing 128:363–370
Wang GG, Gandomi AH, Alavi AH (2014) An effective krill herd algorithm with migration operator in biogeography-based optimization. Appl Math Model 38:2454–2462
Wang GG, Guo L, Gandomi AH, Hao GS, Wang H (2014) Chaotic Krill Herd algorithm. Inf Sci 274:17–34
Wang G, Guo L, Wang H, Duan H, Liu L, Li J (2014) Incorporating mutation scheme into krill herd algorithm for global numerical optimization. Neural Comput Appl 24:853–871
Wang GG, Deb S, Gandomi AH, Alavi AH (2016) Opposition-based krill herd algorithm with Cauchy mutation and position clamping. Neurocomputing 177:147–157
Wang H, Yi JH (2018) An improved optimization method based on krill herd and artificial bee colony with information exchange. Memetic Comput 10:177–198
Rizk-Allah RM, El-Sehiemy RA, Wang GG (2018) A novel parallel hurricane optimization algorithm for secure emission/economic load dispatch solution. Appl Soft Comput J 63:206–222
Wang G-G, Tan Y (2017) Improving metaheuristic algorithms with information feedback models. IEEE Trans Cybern 49:542–555
Wang G, Cai X, Cui Z, Min G, Chen J (2017) High performance computing for cyber physical social systems by using evolutionary multi-objective optimization algorithm. IEEE Trans Emerg Top Comput. https://doi.org/10.1109/TETC.2017.2703784
Cui Z, Sun B, Wang G, Xue Y, Chen J (2017) A novel oriented cuckoo search algorithm to improve DV-Hop performance for cyber–physical systems. J Parallel Distrib Comput 103:42–52
Wang GG, Gandomi AH, Zhao X, Chu HCE (2016) Hybridizing harmony search algorithm with cuckoo search for global numerical optimization. Soft Comput 20:273–285
Cao B, Zhao J, Lv Z, Liu X, Kang X, Yang S (2018) Deployment optimization for 3D industrial wireless sensor networks based on particle swarm optimizers with distributed parallelism. J Netw Comput Appl 103:225–238
Wang G, Guo L, Duan H, Liu L, Wang H (2012) Dynamic deployment of wireless sensor networks by biogeography based optimization algorithm. J Sens Actuator Netw 1(86):96
Yun Z, Bai X, Xuan D, Lai TH, Jia W (2010) Optimal deployment patterns for full coverage and k-connectivity (k ≤ 6) wireless sensor networks. IEEE/ACM Trans Netw 18(3):934–947
Rebai M, Le Berre M, Snoussi H, Hnaien F, Khoukhi L (2015) Sensor deployment optimization methods to achieve both coverage and connectivity in wireless sensor networks. Comput Oper Res 59:11–21
Chakrabarty K, Iyengar SS, Qi H, Cho E (2002) Grid coverage for surveillance and target location in distributed sensor networks. IEEE Trans Comput 51:1448–1453
Li J, Zhang B, Cui L, Chai S (2012) An extended virtual force-based approach to distributed self-deployment in mobile sensor networks. Int J Distrib Sens Netw 8:417307
Gao X, Chen Z, Wu F, Chen G (2017) Energy efficient algorithms for k-sink minimum movement target coverage problem in mobile sensor network. IEEE/ACM Trans Netw 25:3616–3627
Gupta SK, Kuila P, Jana PK (2016) Genetic algorithm approach for k-coverage and m-connected node placement in target based wireless sensor networks. Comput Electr Eng 56:544–556
Abo-Zahhad M, Ahmed SM, Sabor N, Sasaki S (2014) Coverage maximization in mobile wireless sensor networks utilizing immune node deployment algorithm. In: IEEE 27th Canadian Conference on Electrical and Computer Engineering (CCECE), pp 1–6
Bendigeri KY, Mallapur JD (2014) Energy aware node placement algorithm for wireless sensor network. Adv Electron Electr Eng 4(6):541–548
George J, Sharma RM (2016) Relay node placement in wireless sensor networks using modified genetic algorithm. In: 2016 2nd International Conference on Applied and Theoretical Computing and Communication Technology (iCATccT), pp 551–556
Jevtić M, Zogović N, Dimić G (2009) Evaluation of wireless sensor network simulators. In: Proceedings of the 17th telecommunications forum (TELFOR 2009), Belgrade, Serbia
Rehmani MH, Saleem Y (2014) Network simulator NS-2. In: Encyclopedia of Information Science and Technology, Third Edition
NS-3 (n.d.) http://ns3-code.com/ns-network-simulator-3/. Accessed 13 July 2019
Riley GF, Henderson TR (2010) The ns-3 network simulator. Modeling and Tools for Network Simulation. Springer, Berlin, Heidelberg, pp 15–34
Mathworks (n.d.) MATLAB. https://in.mathworks.com/products/MATLAB.html. Accessed 14 July 2019
Hunt BR, Lipsman RL, Rosenberg JM (2012) A guide to MATLAB. Cambridge University Press, Cambridge. https://doi.org/10.1017/CBO9781139164801
OMNET++ (n.d.) https://omnetpp.org/intro/. Accessed 14 July 2019
NETSIM (n.d.) http://www.tetcos.com/. Accessed 14 July 2019
Stadtfeld C (2015) NetSim: a social networks simulation tool in R. R package vignette. http://www.social-networks.ethz.ch/research/researchprojects.html
Dâmaso A, Freitas D, Rosa N, Silva B, Maciel P (2013) Evaluating the power consumption of wireless sensor network applications using models. Sensors 13:3473–3500
Ahmad A, Roslan MF, Amira A (2017) Throughput, latency and cost comparisons of microcontroller-based implementations of wireless sensor network (WSN) in high jump sports. AIP Conf Proc 1883:020010
Zhong X, Liang Y (2019) Scalable downward routing for wireless sensor networks and internet of things actuation. In: Proceedings—conference on local computer networks, LCN
Mounir TA, Mohamed PS, Cherif B, Amar B (2018) Positioning system for emergency situation based on RSSI measurements for WSN. In: PEMWN 2017—6th IFIP International Conference on Performance Evaluation and Modeling in Wired and Wireless Networks
Marfievici R, Murphy AL, Pietro Picco G, Ossi F, Cagnacci F (2013) How environmental factors impact outdoor wireless sensor networks: a case study. In: Proceedings—IEEE 10th International Conference on Mobile Ad-Hoc and Sensor Systems, MASS 2013
Younis M, Akkaya K (2008) Strategies and techniques for node placement in wireless sensor networks: a survey. Ad Hoc Netw 6:621–655
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Priyadarshi, R., Gupta, B. & Anurag, A. Deployment techniques in wireless sensor networks: a survey, classification, challenges, and future research issues. J Supercomput 76, 7333–7373 (2020). https://doi.org/10.1007/s11227-020-03166-5
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11227-020-03166-5