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Recent Advances in Electrical & Electronic Engineering

Editor-in-Chief

ISSN (Print): 2352-0965
ISSN (Online): 2352-0973

Systematic Review Article

Analysis on the Improvement of Energy Efficiency by using its Models in Wireless Sensor Networks

Author(s): Impa B.H.*, Shanthi Pichandi Anandaraj and Madhusudhan Mandya Venkatesh

Volume 17, Issue 7, 2024

Published on: 04 October, 2023

Page: [633 - 643] Pages: 11

DOI: 10.2174/2352096516666230824162752

Price: $65

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Abstract

Aims and Background: A self-configured and infrastructure-less wireless network is named as a wireless sensor network (WSN), which has the role of monitoring physical or environmental conditions like sound, motion, temperature, vibration, and pollutants for passing their data throughout the network to a center of location where the data could be easily observed as well as analyzed.

Methodology: In WSN, the small-sized sensor node is working with a very small battery with limited energy. Replacing the battery or recharging the battery is not feasible, and so, the energyefficient operation of WSN is the key factor. While designing routing protocols (RPs) for WSNs, one among the significant goals is energy conservation owing to this lower power. Totally, three models, namely, state, cluster, and content, were utilized for enhancing energy efficiency (EE). Each protocol has its own way of routing that varies from the other in terms of the parameters selected or the approach.

Results: This paper explicates a survey on WSNs, upgrading EE in WSN based on the state model, EE improvement in WSN based on the cluster model, and EE enhancement in WSN using a contentbased model with its performance comparison.

Conclusion: This paper evaluates the number of cluster heads (CHs) of CADS in different nodes with different schemes for WSNs and a comparison of the four schemes in WSNs.

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[1]
M. Majid, S. Habib, A.R. Javed, M. Rizwan, G. Srivastava, T.R. Gadekallu, and J.C.W. Lin, "Applications of wireless sensor networks and internet of things frameworks in the industry revolution 4.0: A systematic literature review", Sensors (Basel), vol. 22, no. 6, p. 2087, 2022.
[http://dx.doi.org/10.3390/s22062087] [PMID: 35336261]
[2]
K. Ashok, R. Boddu, S.A. Syed, V.R. Sonawane, R.G. Dabhade, and P.C.S. Reddy, "GAN Base feedback analysis system for industrial IOT networks", Automatika (Zagreb), vol. 64, no. 2, pp. 259-267, 2023.
[http://dx.doi.org/10.1080/00051144.2022.2140391]
[3]
A. Singhal, S. Varshney, T.A. Mohanaprakash, R. Jayavadivel, K. Deepti, P.C.S. Reddy, and M.B. Mulat, "Minimization of latency using multitask scheduling in industrial autonomous systems", Wirel. Commun. Mob. Comput., vol. 2022, pp. 1-10, 2022.
[http://dx.doi.org/10.1155/2022/1671829]
[4]
R. Sabitha, A.P. Shukla, A. Mehbodniya, and L. Shakkeera, "A Fuzzy Trust Evaluation of Cloud Collaboration Outlier Detection in Wireless Sensor Networks", Ad Hoc Sens. Wirel. Netw., vol. 53, no. 3/4, pp. 165-188, 2022.
[5]
Y. Sucharitha, and P.C. Shaker Reddy, "An Autonomous Adaptive Enhancement Method Based on Learning to Optimize Heterogeneous Network Selection", Int. J. Sensors Wirel. Commun. Control, vol. 12, no. 7, pp. 495-509, 2022.
[http://dx.doi.org/10.2174/2210327912666221012154428]
[6]
P.C. Shaker Reddy, and A. Sureshbabu, "An enhanced multiple linear regression model for seasonal rainfall prediction", Int. J. Sensors Wirel. Commun. Control, vol. 10, no. 4, pp. 473-483, 2020.
[http://dx.doi.org/10.2174/2210327910666191218124350]
[7]
P.C.S. Reddy, G. Suryanarayana, and S. Yadala, "Data Analytics in Farming: Rice price prediction in Andhra Pradesh", 2022 5th International Conference on Multimedia, Signal Processing and Communication Technologies (IMPACT)., 2022. Aligarh, India.
[8]
K. Kumar, S.V. Pande, T.C.A. Kumar, P. Saini, A. Chaturvedi, P.C.S. Reddy, and K.B. Shah, "Intelligent controller design and fault prediction using machine learning model", Int. Trans. Electr. Energy Syst., vol. 2023, pp. 1-9, 2023.
[http://dx.doi.org/10.1155/2023/1056387]
[9]
N. Sun, J. Xu, H. Wei, H. Miao, and J. Wang, "A network state based reliability evaluation model for WSNs", 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, 2017.
Kanazawa, Japan. [http://dx.doi.org/10.1109/SNPD.2017.8022737]
[10]
S. Lokesh, A. Priya, D.T. Sakhare, R.M. Devi, D.N. Sahu, and P.C.S. Reddy, "CNN based deep learning methods for precise analysis of cardiac arrhythmias", Int. J. Health Sci..
vol., pp. 10808-10819, 2022. [http://dx.doi.org/10.53730/ijhs.v6nS1.7596]
[11]
P. Chillakuru, M. Madiajagan, K.V. Prashanth, S. Ambala, P.C. Shaker Reddy, and J. Pavan, Enhancing wind power monitoring through motion deblurring with modified Google Net algorithm.Soft Comput..
vol., pp. 1-11, 2023. [http://dx.doi.org/10.1007/s00500-023-08358-8]
[12]
Y. Sucharitha, P.C.S. Reddy, and G. Suryanarayana, Network Intrusion Detection of Drones Using Recurrent Neural Networks, Drone Technology: Future Trends and Practical Applications., Wiley: Hoboken, 2023.
[13]
F. Corti, A. Laudani, G.M. Lozito, A. Reatti, A. Bartolini, and L. Ciani, "Model-Based Power Management for Smart Farming Wireless Sensor Networks", IEEE Trans. Circuits Syst. I Regul. Pap., vol. 69, no. 5, pp. 2235-2245, 2022.
[http://dx.doi.org/10.1109/TCSI.2022.3143698]
[14]
G. Canacan, J.T. Llanto, E.E. Moredo, A.S. Santos, F.A. Malabanan, J.N.T. Tabing, and S.M. Gevaña, "Development of a High Efficiency DC-DC Converter Using Hysteretic Control for Hydroelectric Energy Harvester in a Wireless Sensor Network", TENCON 2020 - IEEE REGION 10 CONFERENCE (TENCON), 2020.
Osaka, Japan. [http://dx.doi.org/10.1109/TENCON50793.2020.9293894]
[15]
N. Temene, C. Sergiou, C. Georgiou, and V. Vassiliou, "A survey on mobility in wireless sensor networks", Ad Hoc Netw., vol. 125, no. 6, pp. 1-31, 2021.
[16]
W. Elsayed, M. Elhoseny, S. Sabbeh, and A. Riad, "Self maintenance model for wireless sensor networks", Comput. Electr. Eng., vol. 70, pp. 799-812, 2018.
[http://dx.doi.org/10.1016/j.compeleceng.2017.12.022]
[17]
A.D. Salman, O.I. Khalaf, and G.M. Abdulsaheb, "An adaptive intelligent alarm system for wireless sensor network", Indonesian Journal of Electrical Engineering and Computer Science, vol. 15, no. 1, pp. 142-147, 2019.
[http://dx.doi.org/10.11591/ijeecs.v15.i1.pp142-147]
[18]
B. Zhang, and L. Meng, "Energy efficiency analysis of wireless sensor networks in precision agriculture economy", Sci. Program., vol. 2021, pp. 1-7, 2021.
[http://dx.doi.org/10.1155/2021/8346708]
[19]
J-S. Pan, L. Kong, T.W. Sung, P-W. Tsai, and V. Snasel, "α- Fraction first strategy for hierarchical model in wireless sensor networks", Journal of Internet Technology, vol. 19, no. 6, pp. 1717-1726, 2018.
[20]
B. Wang, X. Gu, L. Ma, and S. Yan, "Temperature error correction based on BP neural network in meteorological wireless sensor network", International Journal of Sensor Networks, vol. 23, no. 4, pp. 265-278, 2017.
[http://dx.doi.org/10.1504/IJSNET.2017.083532]
[21]
K.A. Muthappa, A.S.A. Nisha, R. Shastri, V. Avasthi, and P.C.S. Reddy, "Design of high-speed, low-power non-volatile master slave flip flop (NVMSFF) for memory registers designs", Appl. Nanosci., vol. 13, no. 8, pp. 5369-5378, 2023.
[http://dx.doi.org/10.1007/s13204-023-02814-5]
[22]
P.C. Shaker Reddy, and Y. Sucharitha, "A Design and Challenges in Energy Optimizing CR-Wireless Sensor Networks", Recent Adv Comp Scid Commun, vol. 16, no. 5, p. 11, 2023.
[23]
C. Zhan, Y. Zeng, and R. Zhang, "Energy efficient data collection in UAV enabled wireless sensor network", IEEE Wirel. Commun. Lett., vol. 7, no. 3, pp. 328-331, 2018.
[http://dx.doi.org/10.1109/LWC.2017.2776922]
[24]
T. Qiu, A. Zhao, F. Xia, W. Si, and D.O. Wu, "Member and Dapeng Oliver Wu, “ROSE: Robustness strategy for scale free wireless sensor networks”", IEEE/ACM Trans. Netw., vol. 25, no. 5, pp. 2944-2959, 2017.
[http://dx.doi.org/10.1109/TNET.2017.2713530]
[25]
D. Basu, G. Sen Gupta, G. Moretti, and X. Gui, "Novel adaptive transmission protocol for mobile sensors that improves energy efficiency and removes the limitation of state based adaptive power control protocol", J Sensor Actuator Networks, vol. 6, no. 1, p. 3, 2017.
[http://dx.doi.org/10.3390/jsan6010003]
[26]
D. Basu, G. Sen Gupta, G. Moretti, and X. Gui, "Energy efficiency comparison of a state based adaptive transmission protocol with fixed power transmission for mobile wireless sensors", Journal of Telecommunications System & Management, vol. 6, no. 1, pp. 1-11, 2017.
[http://dx.doi.org/10.4172/2167-0919.1000149]
[27]
R. Wan, N. Xiong, and N.T. Loc, "An energy-efficient sleep scheduling mechanism with similarity measure for wireless sensor networks", Human-centric Computing and Information Sciences, vol. 8, no. 1, p. 18, 2018.
[http://dx.doi.org/10.1186/s13673-018-0141-x]
[28]
B. Priya, and S. Solai Manohar, "Adaptive power control and duty cycle based medium access control protocol for cluster based wireless sensor network", Rom. J. Inf. Sci. Technol., vol. 23, no. 1, pp. 38-54, 2020.
[29]
N. Meena, and B. Singh, "Coverage maximization using multi-objective optimization approach for wireless sensor network in real time environment", 8th International Advance Computing Conference, 2018.
Greater Noida, India. [http://dx.doi.org/10.1109/IADCC.2018.8692122]
[30]
S. Maurya, and V.K. Jain, "Enhanced EECP: Enhanced energy efficient coverage preserving protocol for heterogeneous wireless sensor networks", Conference on Information and Communication Technology, 2018.
Jabalpur, India [http://dx.doi.org/10.1109/INFOCOMTECH.2018.8722411]
[31]
T. Shu, W. Liu, T. Wang, Q. Deng, M. Zhao, N.N. Xiong, X. Li, and A. Liu, "Broadcast based code dissemination scheme for duty cycle based wireless sensor networks", IEEE Access, vol. 7, pp. 105258-105286, 2019.
[http://dx.doi.org/10.1109/ACCESS.2019.2932006]
[32]
J. Tan, W. Liu, T. Wang, N.N. Xiong, H. Song, A. Liu, and Z. Zeng, "Xiong, Houbing Song, Anfeng Liu and Zhiwen Zeng, “An adaptive collection scheme based matrix completion for data gathering in energy harvesting wireless sensor Networks”", IEEE Access, vol. 7, pp. 6703-6723, 2019.
[http://dx.doi.org/10.1109/ACCESS.2019.2890862]
[33]
S.M. Amini, and A. Karimi, "Two-level distributed clustering routing algorithm based on unequal clusters for large-scale Internet of Things networks", J. Supercomput., vol. 76, no. 3, pp. 2158-2190, 2020.
[http://dx.doi.org/10.1007/s11227-019-03067-2]
[34]
M. Chenait, B. Zebbane, C. Benzaid, and N. Badache, "Energy-efficient coverage protocol based on stable and predictive scheduling in wireless sensor networks", Comput. Netw., vol. 127, pp. 1-12, 2017.
[http://dx.doi.org/10.1016/j.comnet.2017.07.015]
[35]
L. Cheng, J. Niu, C. Luo, L. Shu, L. Kong, Z. Zhao, and Y. Gu, "Towards minimum-delay and energy-efficient flooding in low-duty-cycle wireless sensor networks", Comput. Netw., vol. 134, pp. 66-77, 2018.
[http://dx.doi.org/10.1016/j.comnet.2018.01.012]
[36]
J. Aranda, M. Scholzel, D. Mendez, and H. Carrillo, "An energy consumption model for multimodal wireless sensor networks based on wake up radio receivers", IEEE Colombian Conference on Communications and Computing, 2018.
Medellin, Colombia. [http://dx.doi.org/10.1109/ColComCon.2018.8466728]
[37]
J. Shen, A. Wang, C. Wang, P.C.K. Hung, and C-F. Lai, "An efficient centroid based routing protocol for energy management in WSN assisted IoT", IEEE Access, vol. 5, pp. 18469-18479, 2017.
[http://dx.doi.org/10.1109/ACCESS.2017.2749606]
[38]
Elham Golrasan, Hossein Shirazi, and Kourosh Dadashtabar, ""Probabilistic coverage in wireless sensor networks a game theoretical approach", Iranian J Sci Tech.
vol. 2022, 2020. [http://dx.doi.org/10.1007/s40998-020-00393-7]
[39]
Y. Gong, J. Wang, and G. Lai, "Energy efficient query driven clustering protocol for WSNs on 5G infrastructure", Energy Rep., vol. 8, pp. 11446-11455, 2022.
[http://dx.doi.org/10.1016/j.egyr.2022.08.279]
[40]
C. Gherbi, Z. Aliouat, and M. Benmohammed, "A survey on clustering routing protocols in wireless sensor networks", Sensors (Basel), vol. 37, no. 1, pp. 12-25, 2017.
[PMID: 29267247]
[41]
N. Mazumdar, A. Nag, and S. Nandi, "HDDS: Hierarchical data dissemination strategy for energy optimization in dynamic wireless sensor network under harsh environments", Ad Hoc Netw., vol. 111, pp. 1-36, 2020.
[42]
J. Martin Sahayaraj, and J.M. Ganaseakar, "Relay node selection with energy efficient routing using hidden Markov model in wireless sensor networks", Int. J. Netw. Virt. Org., vol. 17, no. 4, pp. 1-11, 2017.
[43]
W. Abushiba, P. Johnson, S. Alharthi, and C. Wright, "An energy efficient and adaptive clustering for wireless sensor network using leach protocol", 13th International Computer Engineering Conference, 2017.
Cairo, Egypt. [http://dx.doi.org/10.1109/ICENCO.2017.8289762]
[44]
D.M. Birajdar, and S.S. Solapure, "LEACH: An energy efficient routing protocol using Omnet for wireless sensor network", International Conference on Inventive Communication and Computational Technologies, 2017. Coimbatore, India
[45]
Y. Ge, S. Wang, and J. Ma, "Optimization on TEEN routing protocol in cognitive wireless sensor network", EURASIP J. Wirel. Commun. Netw., vol. 2018, no. 1, p. 27, 2018.
[http://dx.doi.org/10.1186/s13638-018-1039-z]
[46]
J. Ma, S. Wang, C. Meng, Y. Ge, and J. Du, "Hybrid energy efficient APTEEN protocol based on ant colony algorithm in wireless sensor network", EURASIP J. Wirel. Commun. Netw..
vol. 2018, 2018. [http://dx.doi.org/10.1186/s13638-018-1106-5]
[47]
R. Rani, Distance based enhanced threshold sensitive stable election routing protocol for heterogeneous wireless sensor network., 1st ed Springer: Berlin, Heidelberg, 2019.
[48]
S. Sadhana, E. Sivaraman, and D. Daniel, "Enhanced energy efficient routing for wireless sensor network using extended power efficient gathering in sensor information systems protocol", Procedia Comput. Sci., vol. 194, pp. 89-101, 2021.
[http://dx.doi.org/10.1016/j.procs.2021.10.062]
[49]
I. Daanoune, A. Baghdad, and A. Ballouk, "An enhanced energy-efficient routing protocol for wireless sensor network", Int J Electric Comp Eng (IJECE), vol. 10, no. 5, pp. 5462-5469, 2020.
[http://dx.doi.org/10.11591/ijece.v10i5.pp5462-5469]
[50]
A.S. Toor, and A.K. Jain, "A new energy aware cluster based multi-hop energy efficient routing protocol for wireless sensor networks", 6th IEEE International Conference on Smart Energy Grid Engineering, 2018. Oshawa, ON, Canada.
[51]
U. Javed, K. Shaukat, and A. Ibrahim, "A review of content-based and context-based recommendation systems", International Journal of Emerging Technologies in Learning, vol. 16, no. 3, pp. 274-306, 2021.
[http://dx.doi.org/10.3991/ijet.v16i03.18851]
[52]
S. Kumar, and V.K. Chaurasiya, "A strategy for elimination of data redundancy in internet of things based wireless sensor network", IEEE Syst. J., vol. 13, no. 2, pp. 1650-1657, 2019.
[http://dx.doi.org/10.1109/JSYST.2018.2873591]
[53]
G. Jaber, R. Kacimi, L. Alfredo Grieco, and T. Gayraud, "An adaptive duty-cycle mechanism for energy efficient wireless sensor networks, based on information centric networking design", Wirel. Netw., vol. 26, no. 2, pp. 791-805, 2020.
[http://dx.doi.org/10.1007/s11276-018-1823-z]
[54]
Y. Yang, and T. Song, "Energy efficient cooperative caching for information-centric wireless sensor networking", IEEE Internet Things J., vol. 9, no. 2, pp. 846-857, 2022.
[http://dx.doi.org/10.1109/JIOT.2021.3088847]
[55]
G. Jaber, R. Kacimi, and T. Gayraud,
"Data freshness aware content centric networking in WSNs", 2017 Wireless Days, 2017 Porto, Portugal. [http://dx.doi.org/10.1109/WD.2017.7918152]
[56]
G. Jaber, and R. Kacimi, "A collaborative caching strategy for content-centric enabled wireless sensor networks", Comput. Commun., vol. 159, pp. 60-70, 2020.
[http://dx.doi.org/10.1016/j.comcom.2020.05.018]
[57]
W. Fang, M. Xu, C. Zhu, W. Han, W. Zhang, and J.J.P.C. Rodrigues, "FETMS: Fast and efficient trust management scheme for information-centric networking in internet of things", IEEE Access, vol. 7, pp. 13476-13485, 2019.
[http://dx.doi.org/10.1109/ACCESS.2019.2892712]
[58]
I.U. Din, S. Hassan, A. Almogren, F. Ayub, and M. Guizani, "PUC: Packet update caching for energy efficient IoT based information centric networking", Future Gener. Comput. Syst., vol. 111, pp. 634-643, 2020.
[http://dx.doi.org/10.1016/j.future.2019.11.022]
[59]
R. Lachowski, M. Pellenz, E. Jamhour, M. Penna, G. Brante, G. Moritz, and R. Souza, "ICENET: An information centric protocol for big data wireless sensor networks", Sensors (Basel), vol. 19, no. 4, p. 930, 2019.
[http://dx.doi.org/10.3390/s19040930] [PMID: 30813313]
[60]
A.U.R. Muhammad, R. Ullah, B-S. Kim, B. Nour, and S. Mastorakis, "CCIC-WSN: An architecture for single channel cluster based information-centric wireless sensor networks", IEEE Internet Things J., vol. 8, no. 9, pp. 7661-7675, 2020.
[61]
B.Y. Kim, and T. Dinh, "Information centric sensor-cloud integration an efficient model to improve wireless sensor networks lifetime", IEEE International Conference on Communications, 2017. Paris, France.
[62]
C.D.V. Soto, and L.J. Valdivia, "Smart Campus an experimental performance comparison of collaborative and cooperative schemes for wireless sensor network", Energies, vol. 12, no. 16, pp. 1-23, 2019.
[63]
X. Qiao, H. Wang, W. Tan, A.V. Vasilakos, J. Chen, and M.B. Blake, "A survey of applications research on content-centric networking", China Commun., vol. 16, no. 9, pp. 122-140, 2019.
[http://dx.doi.org/10.23919/JCC.2019.09.009]
[64]
L. Yao, A. Chen, J. Deng, J. Wang, and G. Wu, "A cooperative caching scheme based on mobility prediction in vehicular content centric networks", IEEE Trans. Vehicular Technol., vol. 67, no. 6, pp. 5435-5444, 2018.
[http://dx.doi.org/10.1109/TVT.2017.2784562]
[65]
Y. Yim, J. Lee, E. Lee, and S.H. Kim, "Passive and greedy beaconless geographic routing for real-time data dissemination in wireless networks", Int J Sensor Netw, vol. 28, no. 2, pp. 114-124, 2018.
[http://dx.doi.org/10.1504/IJSNET.2018.096205]
[66]
M. Durga Devi, K. Geetha, and K. Saranyadevi, "Content based routing using information centric network For IoT", 7th International Conference on Advances in Computing & Communications, 2017. Cochin, India.
[67]
S.S. Solapure, and M.D. Shirbhate, "Improving existing 6LoWPAN RPL for content based routing", 2nd International Conference on Computing Methodologies and Communication, 2018. Erode, India.
[68]
R.K. Dalei, S.C. Rai, and A.K. Nayak, "Content routing framework for wireless sensor networks", International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering, 2018.
Bhubaneswar, India. [http://dx.doi.org/10.1109/ICRIEECE44171.2018.9008993]
[69]
J. Shiraishi, H. Yomo, K. Huang, C. Stefanovic, and P. Popovski, "Content based wake up for top k query in wireless sensor networks", IEEE Trans. Green Commun. Netw., vol. 5, no. 1, pp. 362-377, 2021.
[http://dx.doi.org/10.1109/TGCN.2020.3033844]
[70]
Y. Zhang, C. Li, T.H. Luan, Y. Fu, W. Shi, and L. Zhu, "A mobility aware vehicular caching scheme in content centric networks model and optimization", IEEE Trans. Vehicular Technol., vol. 68, no. 4, pp. 3100-3112, 2019.
[http://dx.doi.org/10.1109/TVT.2019.2899923]
[71]
R.K. Dalei, A.K. Nayak, and S.C. Rai, "Low energy stable election content matching routing protocol for wireless sensor network", International Journal of Control Theory and Applications, vol. 10, no. 3, pp. 55-64, 2017.
[72]
H. Kawakita, H. Yomo, and P. Popovski, "Energy efficient distributed estimation using content-based wake up in wireless sensor networks", IEICE Trans. Commun., vol. E104.B, no. 4, pp. 391-400, 2021.
[http://dx.doi.org/10.1587/transcom.2020EBT0003]
[73]
N.R. Haddaway, M.J. Page, C.C. Pritchard, and L.A. McGuinness, "PRISMA2020: An R package and Shiny app for producing PRISMA 2020-compliant flow diagrams, with interactivity for optimised digital transparency and Open Synthesis", Campbell Syst. Rev., vol. 18, no. 2, p. e1230, 2022.
[http://dx.doi.org/10.1002/cl2.1230]
[74]
S.V. Purkar, and R.S. Deshpande, "Energy efficient clustering protocol to enhance performance of heterogeneous wireless sensor network EECPEP-HWSN", J. Comput. Netw. Commun., vol. 2018, pp. 1-12, 2018.
[http://dx.doi.org/10.1155/2018/2078627]
[75]
K. Haseeb, I. Ud Din, A. Almogren, and N. Islam, "An energy efficient and secure IoT based WSN framework an application to smart agriculture", Sensors (Basel), vol. 20, no. 7, p. 2081, 2020.
[http://dx.doi.org/10.3390/s20072081] [PMID: 32272801]
[76]
M. Song, W. Lu, H. Peng, Z. Xu, and J. Hua, A method of balanced sleep scheduling in renewable wireless sensor networks., 1st ed Springer: Cham, 2018.
[77]
H. Wang, Y. Li, T. Chang, and S. Chang, "An effective scheduling algorithm for coverage control in underwater acoustic sensor network", Sensors (Basel), vol. 18, no. 8, p. 2512, 2018.
[http://dx.doi.org/10.3390/s18082512] [PMID: 30071667]
[78]
M.O. Oladimeji, M. Turkey, and S. Dudley, "HACH: Heuristic Algorithm for Clustering Hierarchy protocol in wireless sensor networks", Appl. Soft Comput., vol. 55, pp. 452-461, 2017.
[http://dx.doi.org/10.1016/j.asoc.2017.02.016]
[79]
M.N. Khan, H.U. Rahman, M.A. Almaiah, M.Z. Khan, A. Khan, M. Raza, M. Al-Zahrani, O. Almomani, and R. Khan, "Improving energy efficiency with content-based adaptive and dynamic scheduling in wireless sensor networks", IEEE Access, vol. 8, pp. 176495-176520, 2020.
[http://dx.doi.org/10.1109/ACCESS.2020.3026939]

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