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Energy efficient optimized rate based congestion control routing in wireless sensor network

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Abstract

A wireless sensor network is designed to facilitate various real time applications, constituting a wide range of sensor nodes. In order to provide energy efficient transmissions, a novel congestion control mechanism is proposed on optimized rate. Here, the rate-based congestion control algorithm based on cluster routing is introduced to reduce energy consumption throughout the network. Rate control process reduces the end to end delay to improve network life time for large simulation period. Initially, nodes are clustered by the hybrid K-means and Greedy best first search algorithms. After that, the rate control is performed using firefly optimization strategy which is suitable for high packet delivery ratio. Finally, packets are sent with maximum throughput using Ant Colony Optimization-based routing. The simulation is performed on the MATLAB simulation platform. Finally, performances are evaluated with respect to, average delay in end to end node, delivery ratio of packets, throughput, energy efficiency, energy consumption and reliability.

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References

  • Abuarqoub A, Hammoudeh M, Adebisi B, Jabbar S, Bounceur A, Al-Bashar H (2017) Dynamic clustering and management of mobile wireless sensor networks. Comput Netw 117:62–75

    Article  Google Scholar 

  • Ahmad A, Javaid N, Khan ZA, Qasim U, Alghamdi TA (2014) (ACH)2: routing scheme to maximize lifetime and throughput of wireless sensor networks. IEEE Sens J 14(10):3516–3532

    Article  Google Scholar 

  • Ahmed AM, Paulus R (2017) Congestion detection technique for multipath routing and load balancing in WSN. Wirel Netw 23(3):881–888

    Article  Google Scholar 

  • Antoniou P, Pitsillides A, Blackwell T, Engelbrecht A, Michael L (2013) Congestion control in wireless sensor networks based on bird flocking behavior. Comput Netw 57(5):1167–1191

    Article  Google Scholar 

  • Balaji S, Julie EG, Robinson YH, Kumar R, Thong PH, Son HL (2019) Design of a security-aware routing scheme in Mobile Ad hoc Network using Repeated Game Model. Comput Stand Interfaces 66:103358

    Article  Google Scholar 

  • Banimelhem O, Khasawneh S (2012) GMCAR: grid-based multipath with congestion avoidance routing protocol in wireless sensor networks. Ad Hoc Netw 10(7):1346–1361

    Article  Google Scholar 

  • Baroudi U, Bin-Yahya M, Alshammari M, Yaqoub U (2019) Ticket-based QoS routing optimization using genetic algorithm for WSN applications in smart grid. J Ambient Intell Humaniz Comput 10(4):1325–1338

    Article  Google Scholar 

  • Bhushan B, Sahoo G (2017) A comprehensive survey of secure and energy efficient routing protocols and data collection approaches in wireless sensor networks. In: 2017 International Conference on Signal Processing and Communication (ICSPC). IEEE, p 294–299

  • Bhushan B, Sahoo G (2018) Recent advances in attacks, technical challenges, vulnerabilities and their countermeasures in wireless sensor networks. Wirel Pers Commun 98(2):2037–2077

    Article  Google Scholar 

  • Bhushan B, Sahoo G (2019a) E2SR2: an acknowledgement-based mobile sink routing protocol with rechargeable sensors for wireless sensor networks. Wirel Netw 25(5):2697–2721

    Article  Google Scholar 

  • Bhushan B, Sahoo G (2019b) Routing protocols in wireless sensor networks. Computational intelligence in sensor networks. Springer, Berlin, pp 215–248

    Chapter  Google Scholar 

  • Brahma S, Chatterjee M, Kwiat K, Varshney PK (2012) Traffic management in wireless sensor networks: decoupling congestion control and fairness. Comput Commun 35(6):670–681

    Article  Google Scholar 

  • Cao Y, Xu M, Fu X (2012). Delay-based congestion control for multipath TCP. In 2012 20th IEEE International Conference on Network Protocols (ICNP). IEEE, pp 1–10

  • Chen W, Niu Y, Zou Y (2016) Congestion control and energy-balanced scheme based on the hierarchy for WSNs. IET wireless sensor systems 7(1):1–8

    Article  Google Scholar 

  • Esmaeelzadeh V, Hosseini ES, Berangi R, Akan OB (2016) Modeling of rate-based congestion control schemes in cognitive radio sensor networks. Ad Hoc Netw 36:177–188

    Article  Google Scholar 

  • Farzaneh N, Yaghmaee MH (2015) An adaptive competitive resource control protocol for alleviating congestion in wireless sensor networks: an evolutionary game theory approach. Wirel Pers Commun 82(1):123–142

    Article  Google Scholar 

  • Garg R, Mittal M, Son HL (2019) Reliability and energy efficient workflow scheduling in cloud environment. Clust Comput. https://doi.org/10.1007/s10586-019-02911-7

    Article  Google Scholar 

  • Ghaffari A (2015) Congestion control mechanisms in wireless sensor networks: a survey. J Netw Comput Appl 52:101–115

    Article  Google Scholar 

  • Gholipour M, Haghighat AT, Meybodi MR (2015) Hop-by-hop traffic-aware routing to congestion control in wireless sensor networks. EURASIP J Wirel Commun Netw 1:15

    Article  Google Scholar 

  • Gnawali O, Fonseca R, Jamieson K, Kazandjieva M, Moss D, Levis P (2013) CTP: an efficient, robust, and reliable collection tree protocol for wireless sensor networks. ACM Trans Sens Netw (TOSN) 10(1):16

    Google Scholar 

  • Habib MA, Saha S, Razzaque MA, Mamun-or-Rashid M, Fortino G, Hassan MM (2018) Starfish routing for sensor networks with mobile sink. J Netw Comput Appl 123:11–22

    Article  Google Scholar 

  • Jan MA, Nanda P, He X, Liu RP (2014) PASCCC: priority-based application-specific congestion control clustering protocol. Comput Netw 74:92–102

    Article  Google Scholar 

  • Jeyasekar A, SV KR, Uthra A (2017) Congestion avoidance algorithm using ARIMA (2, 1, 1) model-based RTT estimation and RSS in heterogeneous wired-wireless networks. J Netw Comput Appl 93:91–109

    Article  Google Scholar 

  • Jha S, Kumar R, Son HL, Abdel-Basset M, Priyadarshini I, Sharma R, Long HV (2019) Deep learning approach for software maintainability metrics prediction. IEEE Access 7:61840–61855

    Article  Google Scholar 

  • Kamimura A, Tomita K (2017) A self-organizing network coordination framework enabling collision-free and congestion-less wireless sensor networks. J Netw Comput Appl 93:228–244

    Article  Google Scholar 

  • Kapoor R, Gupta R, Son HL, Jha S, Kumar R (2018a) Boosting performance of power quality event identification with KL Divergence measure and standard deviation. Measurement 126:134–142

    Article  Google Scholar 

  • Kapoor R, Gupta R, Kumar R, Son HL, Jha S (2018b) New scheme for underwater acoustically wireless transmission using direct sequence code division multiple access in MIMO systems. Wirel Netw. https://doi.org/10.1007/s11276-018-1750-z

    Article  Google Scholar 

  • Kapoor R, Gupta R, Son HL, Jha S, Kumar R (2019) Adaptive technique with cross correlation for lowering signal-to-noise ratio wall in sensor networks. Wirel Pers Commun 105(3):787–802

    Article  Google Scholar 

  • Khan T, Singh K, Son HL, Abdel-Basset M, Long HV, Singh SP, Manjul M (2019) A novel and comprehensive trust estimation clustering based approach for large scale wireless sensor networks. IEEE Access 7:58221–58240

    Article  Google Scholar 

  • Krishnan RS, Julie EG, Robinson YH, Son HL, Kumar R, Abdel-Basset M, Thong PH (2019) A new algorithm for high power node multicasting in wireless sensor networks. IEEE Access 7:38584–38592

    Article  Google Scholar 

  • Le K, Bui T, Quan T, Petrucci L André É (2015) Component-based abstraction of petri net models: an application for congestion verification of wireless sensor networks. In: Proceedings of the Sixth International Symposium on Information and Communication Technology. ACM, p 342–349

  • Leu FY, Chen HL Liu JC (2014) Improving multi-path congestion control for event-driven wireless sensor networks by using TDMA. In: 2014 Ninth International Conference on Broadband and Wireless Computing, Communication and Applications. IEEE, p 300–305

  • Li M, Jing Y (2012) Feedback congestion control protocol for wireless sensor networks. In: 2012 24th Chinese Control and Decision Conference (CCDC). IEEE, p 4217–4220

  • Manjul M, Mishra R, Singh K, Son HL, Abdel-Basset M, Thong PH (2019) Single rate based extended logarithmic multicast congestion control. J Ambient Intell Humaniz Comput. https://doi.org/10.1007/s12652-019-01340-z

    Article  Google Scholar 

  • Pal S, Kumar R, Son HL, Saravanan K, Abdel-Basset M, Manogaran G, Thong PH (2019) Novel probabilistic resource migration algorithm for cross-cloud live migration of virtual machines in public cloud. J Supercomput. https://doi.org/10.1007/s11227-019-02874-x

    Article  Google Scholar 

  • Popa A, Hnatiuc M, Paun M, Geman O, Hemanth DJ, Dorcea D, Ghita S (2019) An intelligent IoT-based food quality monitoring approach using low-cost sensors. Symmetry 11(3):374

    Article  Google Scholar 

  • Pritam N, Khari M, Son HL, Kumar R, Jha S, Priyadarshini I, Abdel-Basset M, Long HV (2019) Assessment of code smell for predicting class change proneness using machine learning. IEEE Access 7:37414–37425

    Article  Google Scholar 

  • Robinson YH, Julie EG, Saravanan K, Kumar R, Son HL (2019a) FD-AOMDV: fault-tolerant disjoint ad-hoc on-demand multipath distance vector routing algorithm in mobile ad-hoc networks. J Ambient Intell Humaniz Comput. https://doi.org/10.1007/s12652-018-1126-3

    Article  Google Scholar 

  • Robinson YH, Julie EG, Kumar R, Son HL (2019b) Probability-based cluster head selection and fuzzy multipath routing for prolonging lifetime of wireless sensor networks. Peer-to-Peer Netw Appl. https://doi.org/10.1007/s12083-019-00758-8

    Article  Google Scholar 

  • Robinson YH, Krishnan RS, Julie EG, Kumar R, Son HL, Thong PH (2019c) Neighbor Knowledge-based Rebroadcast algorithm for minimizing the routing overhead in Mobile Ad hoc Networks. Ad Hoc Netw 93:101896–101909

    Article  Google Scholar 

  • Sahu DP, Singh K, Manju M, Taniar D, Abdel-Basset M, Long HV (2019) Heuristic search based localization in mobile computational grid. IEEE Access 7:78652–78664

    Article  Google Scholar 

  • Saravanan K, Aswini S, Kumar R, Son HL (2019) How to prevent maritime border collision for fisheries?—a design of Real-Time Automatic Identification System. Earth Sci Inform 12(2):241–252

    Article  Google Scholar 

  • Shelke MP, Malhotra A, Mahalle P (2017) A packet priority intimation-based data transmission for congestion free traffic management in wireless sensor networks. Comput Electr Eng 64:248–261

    Article  Google Scholar 

  • Singh K, Singh K, Son HL, Aziz A (2018) Congestion control in wireless sensor networks by hybrid multi-objective optimization algorithm. Comput Netw 138:90–107

    Article  Google Scholar 

  • Son HL, Thong PH (2017) Soft computing methods for WiMax network planning on 3D geographical information systems. J Comput Syst Sci 83(1):159–179

    Article  MathSciNet  MATH  Google Scholar 

  • Son PH, Son HL, Jha S, Kumar R, Chatterjee JM (2019a) Governing mobile virtual network operators in developing countries. Util Policy 56:169–180

    Article  Google Scholar 

  • Son HLS, Kumar R, Chatterjee JM, Khari M (2019b) Collaborative handshaking approaches between internet of computing and internet of things towards a smart world: a review from 2009 to 2017. Telecommun Syst 70(4):617–634

    Article  Google Scholar 

  • Sonmez C, Incel OD, Isik S, Donmez MY, Ersoy C (2014) Fuzzy-based congestion control for wireless multimedia sensor networks. EURASIP J Wirel Commun Netw 1:63

    Article  Google Scholar 

  • Tam NT, Hai DT, Son HL, Vinh TL (2018) Improving lifetime and network connections of 3D wireless sensor networks based on fuzzy clustering and particle swarm optimization. Wirel Netw 24(5):1477–1490

    Article  Google Scholar 

  • Uthra RA, Raja SK (2014) Energy efficient congestion control in wireless sensor network. Recent advances in intelligent informatics. Springer, Cham, pp 331–341

    Chapter  Google Scholar 

  • Wang X, Han S, Wu Y, Wang X (2012) Coverage and energy consumption control in mobile heterogeneous wireless sensor networks. IEEE Trans Autom Control 58(4):975–988

    Article  MathSciNet  MATH  Google Scholar 

  • Yaghmaee MH, Bahalgardi NF, Adjeroh D (2013) A prioritization based congestion control protocol for healthcare monitoring application in wireless sensor networks. Wirel Pers Commun 72(4):2605–2631

    Article  Google Scholar 

  • Yi D, Yang H (2016) HEER—a delay-aware and energy-efficient routing protocol for wireless sensor networks. Comput Netw 104:155–173

    Article  Google Scholar 

  • Zou Z, Qian Y (2019) Wireless sensor network routing method based on improved ant colony algorithm. J Ambient Intell Humaniz Comput 10(3):991–998

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of CSE, Indian Institute of Technology, Dhanbad, India

    Vikas Srivastava & Sachin Tripathi

  2. School of Computer and System Science, Jawaharlal Nehru University, New Delhi, India

    Karan Singh

  3. Institute of Research and Development, Duy Tan University, Da Nang, 550000, Vietnam

    Le Hoang Son

  4. VNU Information Technology Institute, Vietnam National University, Hanoi, Vietnam

    Le Hoang Son

Authors
  1. Vikas Srivastava
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  2. Sachin Tripathi
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  4. Le Hoang Son
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Correspondence to Le Hoang Son.

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Srivastava, V., Tripathi, S., Singh, K. et al. Energy efficient optimized rate based congestion control routing in wireless sensor network. J Ambient Intell Human Comput 11, 1325–1338 (2020). https://doi.org/10.1007/s12652-019-01449-1

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  • DOI: https://doi.org/10.1007/s12652-019-01449-1

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