The week's pick
Reseach Article
High Speed Optimum WSN Routing using Modified Distance Measure based Clustering: HSO-SAA
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 174 - Number 17 |
| Year of Publication: 2021 |
| Authors: Priyanka Chourey, Imran Ali Khan |
10.5120/ijca2021921057
|
Priyanka Chourey, Imran Ali Khan . High Speed Optimum WSN Routing using Modified Distance Measure based Clustering: HSO-SAA. International Journal of Computer Applications. 174, 17 ( Feb 2021), 19-24. DOI=10.5120/ijca2021921057
Abstract
In the recent times wireless sensors network (WSN) are opted for acquiring the sensor data to improve the performance. Sleep and awake based routing is efficient way of increasing the life of networks which is restricted by power availability of sensors. But conventional sleep aware and awake based methods are relatively computationally slow. Therefore, this paper proposes a modified absolute distance measure for clustering based routing. It is proposed to enhance the execution speed and energy efficiency of the conventional protocol. Therefore, this paper proposes to design an efficient routing algorithm HSO-SAA for the WSN networks via examination and testing of numerous state of art routing protocols related to WSN. The optimum parametric selection approach is used for increasing energy efficiency of routing protocol. Various experimentations had been performed in order to evaluate the performance of proposed optimum design along with existing clustering based protocols. Performance is compared based on the network life time, alive nodes, latency as FND, and the number of packets transmitted. Overall proposed energy model is good enough to improve the energy uses of WSN.
References
- Ansam Ennaciri, Mohammed Erritali, Jamaa Bengourram “Load Balancing Protocol (EESAA) to improve Quality of Service in Wireless sensor network”, Elsevier International Workshop on Web Search and Data Mining (WSDM) April 29 – May 2, 2019
- T. Shah, N. Javaid and T. N. Qureshi, "Energy Efficient Sleep Awake Aware (EESAA) intelligent Sensor Network routing protocol," 2012 15th International Multitopic Conference (INMIC), Islamabad, pp. 317-322, 2012
- Priya EDEEC-Enhanced Distributed Energy Efficient Clustering Protocol for Heterogeneous Wireless Sensor Network (WSN) Scheme for WSN, IEEE Access 2018
- Akshay Verma , Sunil Kumar , Prateek Raj Gautam , Tarique Rashid, and Arvind Kumar, Fuzzy Logic Based Effective Clustering of Homogeneous Wireless Sensor Networks for Mobile Sink”, IEEE Sensors Journal, Vol. 20, No. 10, May 15, 2020
- Khurana, B., P., & Kant, K., “LEACH-MAC: A newcluster head selection algorithm for wireless sensor networks”, in Journal of Wireless Networks, 22, 49-60
- Komalpreet Kaur, Er. Shivani Sharma.” Enhanced Distributed Energy Efficient Clustering Protocol”, International Conference on Computer Communication and Informatics (ICCCI -2020), Jan. Coimbatore, INDIA 22 – 24, 2020
- R. Saxena, V. Rishiwal and O. Singh, "Performance Evaluation of Routing Protocols in Wireless Sensor Networks," 2018 3rd International Conference On Internet of Things: Smart Innovation and Usages (IoT-SIU), Bhimtal, pp. 1-6, 2018
- Kassim MR, M.; Harun, A.N. Applications of WSN in agricultural environment monitoring systems. In Proceedings of International Conference on Information and Communication Technology Convergence (ICTC), Jeju Korea, 19–21 October 2016
- Georgios Smaragdakis Ibrahim Matta Azer Bestavros, “SEP: A Stable Election Protocol for clustered heterogeneous wireless sensor networks”, Second International Workshop on Sensor and Actor Network Protocols and Applications (SANPA 2004).
- Dionisis Kandris, Christos Nakas, Dimitrios Vomvas and Grigorios Koulouras, “Applications of Wireless Sensor Networks: An Up-to-Date Survey”, MDPI journal of applied system information, Vol. 3, Issue 14, 2020
- Amee Vishwakarma, Prof. Papiya Dutta, “A Review on Various Energy Efficient Clustering Protocols of WSN” in Journal of Emerging Technologies and Innovative Research (JETIR) Volume 4, Issue 08 2017
- A. Kaur and R. Gujral, "Optimized GAF protocol based sleep/awake protocol for WSN to improve Network Lifetime," 2016 3rd International Conference on Signal Processing and Integrated Networks (SPIN), Noida, pp. 411-416, 2016
- Zantalis, F.; Koulouras, G.; Karabetsos, S.; Kandris, D. A review of machine learning and IoT in smart transportation, Future Internet Vol. 11, Issue 94, 2019
- Ch. Usha Kumari and Tatiparti Padma, “Efficient data gathering algorithm in wireless sensor networks with optimal path mobile sink. Journal of Wireless Communications and Mobile Computing, 2015
- Sahraei, S. H., Kashani, M. M. R., Rezazadeh, J., & Farah Bakhsh, R. (2018). Efficient job scheduling in cloud computing based on genetic algorithm. International Journal of Communication Networks and Distributed Systems, 22, 447-467
- Farhadian, F., Kashani, M. M. R., Rezazadeh, J., Farah- Bakhsh, R., & Sandrasegaran, K. (2019). An efficient IoT cloud energy consumption based on genetic algorithm. Digital Communications and Networks
- Tyagi S, Kumar N. “A systematic review on clustering and routing techniques. Based upon LEACH protocol for wireless sensor networks”, Journal of Network and Computer Applications, Elsevier, Vol. 36, issue 2, 2013,pp 623-645.
- Kumar, V., Jain, S. & Tiwari, S. (2011). Energy efficient clustering algorithms in wireless sensor networks: A survey. IJCSI international Journal of Computer Science Issues, 8(5), 2
- Sharma, A. K., & Kourtney, H., “Hybrid energy efficient distributed protocol for heterogeneous wireless sensor network”. International Journal of Computer Applications, 4(6), 1-5. 2010.
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