Load Balancing And Bandwidth Optimization In Wireless Sensor Networks Using Energy Efficient Clustering Protocol (EECP)

  • Yogesh Suresh Gunjal , Yogesh Kumar Sharma , Satish Ramchandra Todmal

Abstract

Clustering is a known way of coping with huge nodes volume in wireless sensor networks (WSN) and efficiently conserving energy. Load balance is indeed an efficient method for resource optimization such as the canal bandwidth; the main aim of this document is to incorporate all useful approaches so that the key WSN resources including such data routing can be greatly improved. Our proposition is therefore a routing protocol wherein load traffic is distributed between clusters so that the possibility of falling by queue overload in some of the nodes is decreased. Towards this end , a new method to hierarchical data collection is suggested, known as the Energy Efficient Clustering Protocol (EECP). The EECP method is intended to achieve the below goals: to minimize the total network energy usage and to balance the energy dissipation between sensor nodes. Throughout reality, the cluster heads are best decided and appropriately dispersed on the field of interest, enabling the participant nodes to attain the others with such a suitable energy dissipation and a proper load balancing use. Alternatively, radio nodes are switched off in accordance with rules of sleep management for their energy consumption for a fixed period of time. A quality assessment is conducted out on the renowned NS2 simulator of the suggested technique. The residual energy of sensor nodes was therefore calculated during the simulation time to measure the overall amount of live nodes every 20 s. We deducted from the results of the simulations that, in relation to the DEEAC (Distributive Energy Efficient Adaptive Clustered Protocol) reference protocol, our suggested EECP Protocol increases its energy benefit and extends the network life from 32 percent to 40 percent, compared to FE MCHRP from 25 to 28 percent. The researchers observe, for fist node die, the protocol proposed is 41.7% better than DEEAC and 25.5% better than FEMCHRP for the end node die whereas the average transmission time is maintained.

Published
2020-05-15
How to Cite
Yogesh Suresh Gunjal , Yogesh Kumar Sharma , Satish Ramchandra Todmal. (2020). Load Balancing And Bandwidth Optimization In Wireless Sensor Networks Using Energy Efficient Clustering Protocol (EECP). International Journal of Advanced Science and Technology, 29(12s), 1019 - 1028. Retrieved from http://sersc.org/journals/index.php/IJAST/article/view/22566
Section
Articles