Efficient Data Transmission in WSN using AODV Protocol Considering Throughput
V. Gokula Krishnan1, N. Sankar Ram2
1V. Gokula Krishnan, Research Scholar, Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Jeppiaar Nagar, Chennai (Tamil Nadu), India.
2Dr. N. Sankar Ram, Professor, Department of Computer Science and Engineering, Sri Ram Engineering College, Perumalpattu, Chennai (Tamil Nadu), India.
Manuscript received on 18 April 2019 | Revised Manuscript received on 25 April 2019 | Manuscript published on 30 April 2019 | PP: 703-707 | Volume-8 Issue-4, April 2019 | Retrieval Number: D6235048419/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Creating an environment using Wireless Sensor nodes, deployed with limited resources to monitor and communicate within themselves is termed as Wireless Sensor Network (WSN). Due to the limited resources used, one of the important factors to be considered is network lifetime. Secure Real-Time Load Distribution (SRTLD) is a routing protocol which will boost the network life time. SRTLD protocol contains some issues such as very high power consumption due to broadcasting at every hop, added delay and data loss. This reduces the data transmission rate in the WSN. Ant Colony Optimization (ACO) proves to be a meta-heuristic algorithm practically, as it used the ant’s behavior to find optimized route. Biological Inspired Self-Organized Secure Autonomous Routing Protocol (BIOSARP) applies a self-organized autonomous routing protocol which is secure and also biologically inspired. It uses a better algorithm considering only pheromone value for the sake of Data Transmission. But in absentia of pheromone value another alternative way to find path is not an easy task. In this paper, we calculate energy level, cost as well as throughput of each node by the usage of AODV protocol and arrive at an optimal routing path. The results of AODV are promising and proved to outperform the simulation tool in terms of network connectivity time, energy-efficient routing and data delivery ratio.
Keywords: Secure Real-Time Load Distribution, Ant Colony Optimization, Autonomous Agent, Packet Delivery Ratio, Energy Efficiency, Adhoc On Demand Distance Vector Routing.
Scope of the Article: WSN