PIL-LEACH model for Increasing Energy Efficiency in Wireless Sensor Network

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Published: Apr 20, 2018
DOI: https://doi.org/10.26483/ijarcs.v9i2.5755
Keywords:
Pil-Leach, PSO, Particle Swarm Optimization, Leach, Energy efficiency, Wireless Sensor Networks

Main Article Content

Ram charan Ponnada

Abstract

Wireless Sensor Networks (WSN) play a vital role in the modern arena. WSN is deployed in the various vital areas such as military operations, health care, surveillance, home application and environmental applications. WSN mainly works on battery power, whose capacity is limited. Energy efficiency is one of the main issues in wireless sensor networks. Various routing techniques are developed to achieve maximum reliability, network lifetime and scalability. Leach is one of the clustering convention used in wireless sensor networks. Even, after its existence of more than 17 years, Leach protocol grabs attention and interest of research community. Our research area is confined to power management. This paper proposes a technique called as Improved Lifetime - Leach with Particle Swarm Optimization (PIL-LEACH) to smoothen the associated information transmission inside the group and, to control the problems such as correlated data, cluster head selection and large distance transmission of the packet in Leach. Particle Swarm Optimization (PSO) algorithm selects the cluster head based on various parameters of sensor nodes such as residual energy, distance from base sink etc. This approach admits that we know the area of the sensor hubs. It uses the two-tier architecture of clusters heads which are far away from the sink in order to mitigate the energy losses.

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Vol. 9 No. 2 (2018): March-April 2018
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References

Holms, Ann, and Ethan Culler-Mayeno. "A Technical Report: Wireless Sensor Networks and How They Work." University of California Santa Barbara (2006).

Puccinelli, Daniele, and Martin Haenggi. "Wireless sensor networks: applications and challenges of ubiquitous sensing." IEEE Circuits and systems magazine 5.3 (2005): 19-31.

Ramesh, K., and Dr K. Somasundaram. "A comparative study of clusterhead selection algorithms in wireless sensor networks." arXiv preprint arXiv:1205.1673 (2012).

Kumar, Ajay, Vikrant Sharma, and D. Prasad. "Distributed deployment scheme for homogeneous distribution of randomly deployed mobile sensor nodes in wireless sensor network." Editorial Preface 4.4 (2013): 139-146.

Dutt, Suniti. "Cluster based Hierarchical Routing in wireless sensor networks." International journal of Engineering and innovative technology (IJEIT) vol 2 (2012).

Paul, Sounak, and Tapan Kumar Dey. "Energy efficient routing in cluster based wireless sensor networks." Advanced Informatics: Concepts, Theory and Applications (ICAICTA), 2015 2nd International Conference on. IEEE, 2015.

Mazumdar, Nabajyoti, and Hari Om. "Distributed energy-efficient clustering algorithm for mobile-sink based wireless sensor networks." Intelligent Systems and Control (ISCO), 2016 10th International Conference on. IEEE, 2016.

Amsalu, Seifemichael B., et al. "Energy efficient Grid Clustering Hierarchy (GCH) routing protocol for wireless sensor networks." Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), IEEE Annual. IEEE, 2016.

Mazumdar, Nabajyoti, and Hari Om. "Distributed energy-efficient clustering algorithm for mobile-sink based wireless sensor networks." Intelligent Systems and Control (ISCO), 2016 10th International Conference on. IEEE, 2016.

Kaur, Navdeep, Dalveer Kaur Grewal, and Shashi Kant Shankar. "Typical and atypical hierarchical routing protocols for WSNs: A review." Computing, Communication and Automation (ICCCA), 2016 International Conference on. IEEE, 2016.

Heinzelman, Wendi B., Anantha P. Chandrakasan, and Hari Balakrishnan. "An application-specific protocol architecture for wireless microsensor networks." IEEE Transactions on wireless communications 1.4 (2002): 660-670.

Singh, Sunil Kumar, Prabhat Kumar, and Jyoti Prakash Singh. "A survey on successors of LEACH protocol." IEEE Access 5 (2017): 4298-4328.

Ahamad, Firoj, and Rakesh Kumar. "Energy efficient region based clustering algorithm for WSN using fuzzy logic." Recent Trends in Electronics, Information & Communication Technology (RTEICT), IEEE International Conference on. IEEE, 2016.

Ahamad, Firoj, and Rakesh Kumar. "Energy efficient region based clustering algorithm for WSN using fuzzy logic." Recent Trends in Electronics, Information & Communication Technology (RTEICT), IEEE International Conference on. IEEE, 2016.

Singh, Santar Pal, and Subhash Chander Sharma. "A Particle Swarm Optimization Approach for Energy Efficient Clustering in Wireless Sensor Networks." International Journal of Intelligent Systems and Applications 9.6 (2017): 66.

Singh, Alka, Shubhangi Rathkanthiwar, and Sandeep Kakde. "Energy efficient routing of WSN using particle swarm optimization and V-LEACH protocol." Communication and Signal Processing (ICCSP), 2016 International Conference on. IEEE, 2016.

Kandpal, Rajat, and Rajesh Singh. "Improving lifetime of wireless sensor networks by mitigating correlated data using LEACH protocol." Information Processing (IICIP), 2016 1st India International Conference on. IEEE, 2016.