krishnakumar Amirthalingam | Bharathiar University, Coimbatore, Tamilnadu, INDIA (original) (raw)

Conference Presentations by krishnakumar Amirthalingam

— Wireless Sensor Network (WSN) nodes utilize the maximum battery power to sense the data from th... more — Wireless Sensor Network (WSN) nodes utilize the maximum battery power to sense the data from the environment and forward it to Cluster Head (CH) for data aggregation and finally reaches the Base Station (BS). The CH election is a vital task in WSN and one of the first hierarchical cluster based routing protocol called Low-Energy Adaptive Cluster Hierarchy (LEACH) Protocol is modified in this paper with changing the selection of CH. The Proposed model introduces energy, distance, power amplification and threshold energy as metrics to elect the CH. Energy and distance parameters reduces the energy consumption of a node. Power amplification and threshold energy concentrates in improving the efficiency of the network. By this combination of parameters energy of a node is highly improved. The simulation results of the proposed model show better result than the traditional LEACH Protocol and thus tells that the proposed scheme improves the lifetime of the network.

— Wireless Sensor Networks (WSN) are good field for research which can be applied almost in any a... more — Wireless Sensor Networks (WSN) are good field for research which can be applied almost in any area and in any circumstances. The traditional LEACH protocol is considered for the research and in this work the Improved LEACH is introduced as an energy efficient Cluster Head (CH) selection considering the energy and distance as parameters. The probability function is modified with the energy and distance metrics to choose energy efficient CH for data transmission. The simulation result clearly gives that the CH elected in Improved LEACH is prominent better scheme than the LEACH protocol. The sum of alive nodes is also quite improved and deliver a complete the clustering mechanism in a rapid manner when compare to the previous clustering processes in WSN.

—Wireless sensor network contains a number of tiny sensors to get data from the surface where it ... more —Wireless sensor network contains a number of tiny sensors to get data from the surface where it deployed. Continuous data transfer is done in this network through cluster head and maintaining the energy level for the nodes is an essential task. Clustering is done to increase energy of the node to some certain period. Load balancing using clustering can increase the network scalability. This paper surveys on available load balanced clustering based on variable convergence time algorithms of wireless sensor networks

Papers by krishnakumar Amirthalingam

2016 3rd International Conference on Advanced Computing and Communication Systems (ICACCS), 2016

Wireless sensor network contains a number of tiny sensors to get data from the surface where it d... more Wireless sensor network contains a number of tiny sensors to get data from the surface where it deployed. Continuous data transfer is done in this network through cluster head and maintaining the energy level for the nodes is an essential task. Clustering is done to increase energy of the node to some certain period. Load balancing using clustering can increase the network scalability. This paper surveys on available load balanced clustering based on variable convergence time algorithms of wireless sensor networks.

2016 IEEE International Conference on Advances in Computer Applications (ICACA), 2016

Wireless Sensor Networks (WSN) are good field for research which can be applied almost in any are... more Wireless Sensor Networks (WSN) are good field for research which can be applied almost in any area and in any circumstances. The traditional LEACH protocol is considered for the research and in this work the Improved LEACH is introduced as an energy efficient Cluster Head (CH) selection considering the energy and distance as parameters. The probability function is modified with the energy and distance metrics to choose energy efficient CH for data transmission. The simulation result clearly gives that the CH elected in Improved LEACH is prominent better scheme than the LEACH protocol. The sum of alive nodes is also quite improved and deliver a complete the clustering mechanism in a rapid manner when compare to the previous clustering processes in WSN.

The nodes of the Wireless Sensor Network (WSN) have a limited battery power and unchangeable beca... more The nodes of the Wireless Sensor Network (WSN) have a limited battery power and unchangeable because it is normally deployed in geographical areas where the human interventions are limited. The applications of WSN requires a continuous connection between the nodes and BS should be maintain to transmit the data even when there is no data to transmitted. Therefore, the energy efficient protocols are the primary need of WSN. Many algorithms were developed and this paper presents a novel protocol " Enhanced LEACH " to improve energy efficiency, lifetime and scalability of the network. This proposed scheme introduces some parameters in CH election like distance between nodes, residual energy of nodes and so on. The parameters are combined with LEACH threshold probability function to elect the best CH. The elected CH follows a data transmission power levels in order to extend the lifetime of the network. Enhanced LEACH is compared with LEACH using the metrics such as throughput, lifetime, low amount of energy as well. The simulation results show the proposed scheme consumes less energy, low cost, less collision, less transmission time and increase network lifetime when compared to LEACH.

2016 3rd International Conference on Advanced Computing and Communication Systems (ICACCS), 2016

2016 IEEE International Conference on Advances in Computer Applications (ICACA), 2016