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Baburaj, E.
- An Effective Model of the Neighbor Discovery and Energy Efficient Routing Method for Wireless Sensor Networks
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Authors
Affiliations
1 Stella Mary’s College of Engineering, Nagercoil - 629202, Kanyakumari, Tamil Nadu, IN
2 Narayanaguru College of Engineering, Manjalumoodu - 629151, Kanyakumari, Tamil Nadu, IN
1 Stella Mary’s College of Engineering, Nagercoil - 629202, Kanyakumari, Tamil Nadu, IN
2 Narayanaguru College of Engineering, Manjalumoodu - 629151, Kanyakumari, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 8, No 23 (2015), Pagination:Abstract
The Wireless Sensor Networks (WSN) is one of most active research area over last decades. Due to the limited battery power and computation capacity of sensor nodes, it needs an effective routing protocol for WSN to increase the network lifetime. Basically, sensor nodes can be collected the application data and transmitted to the neighbor's node effectively. The Location Based Energy Aware Routing Protocol (LBER) is proposed in this paper. In LBER, a node select their neighbor node (Neighbor Discovery) using a beacon message and properly maintain the path for data transmission even a node failure. Furthermore, LBER consume a small amount of energy during node discovery, network activities and data transmission. In case of node failure, LBER protocol easy to handle the node breakdown problem. In the proposed work, LBER is compared with GPSR and LSR protocol, simulation results shows that LBER outperforms GPSR and LSR, which reduce the energy consumption, increase network lifetime and provide QOS of WSN.Keywords
Energy Balance, Network Lifetime, Node Discovery, Routing Protocol, Self Organized, Wireless Sensor Network.Full Text
- Comparison of Hybrid Elephant Herding Optimization with Different Evolutionary Optimization Algorithms
Abstract Views :181 |
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Authors
Affiliations
1 Sathyabama Institute of Science and Technology, IN
2 Department of Computer Science Engineering, Marian Engineering College, IN
1 Sathyabama Institute of Science and Technology, IN
2 Department of Computer Science Engineering, Marian Engineering College, IN
Source
ICTACT Journal on Soft Computing, Vol 10, No 4 (2020), Pagination: 2171-2182Abstract
Many optimization algorithms that imitate the social behaviour of animals and natural biological evolution have been proposed in the recently preceding years. These nature inspired algorithms known as evolutionary algorithms have considerably enhanced the development of the optimization process. In this paper, a hybrid elephant herding opposition algorithm is proposed and a comparative study is conducted to analyse the effectiveness of the proposed algorithm. For the purpose of the comparison, the optimization algorithms that have been taken up for the study are Refined Selfish Herd Optimization (RSHO), Spotted Hyena Optimization (SHO), Chicken Swarm Optimization (CSO) and Particle Swarm Optimization (PSO). Tests on 21 common benchmark functions have been conducted to evaluate the performance of the proposed algorithm. The results from the experiment concluded that the proposed algorithm performs better than the other algorithms.Keywords
Evolutionary Algorithm, Elephant Herding Optimization, Benchmark Functions.
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