Design and Attainment Assessment of Different Protocols for Smart Industry to Observe and Control Gas Leakage Employing WSN
Suvarna Vashistha1, R K Sharma2
1Suvarna Vashistha*, Dept. of Computer Science and Engineering, Dr APJ Abdul Kalam Technical University, Lucknow, India.
2R K Sharma, Dept. Computer Science and Engineering, Dr APJ Abdul Kalam Technical University, Lucknow, India.
Manuscript received on March 16, 2020. | Revised Manuscript received on March 24, 2020. | Manuscript published on March 30, 2020. | PP: 2441-2445 | Volume-8 Issue-6, March 2020. | Retrieval Number: F7767038620/2020©BEIESP | DOI: 10.35940/ijrte.F7767.038620
Open Access | Ethics and Policies | Cite | Mendeley
© 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: Harmful gases leaking from the equipment that are installed in the industries cause huge loss of lives of the workers as well as people living nearby the industries. The main causes for the gas leakage are poorly maintained machines, leaky storage tanks. So, focusing on the concentration of harmful toxic gases, a virtual analysis has done using QualNet 6.1. Different numbers of nodes have dropped randomly in different terrain areas. Three protocols LRWPAN, LRWPAND, LRWPANDMC have been used to virtually analyze the gas leakage scenario. These sensors detect the gases when the leakage is near about or more than the limit. At each time some nodes will be in sleep mode and others will be in active mode, this mechanism will increase the lifetime of the battery, as changing battery frequently will not be possible especially in remote areas. The crucial profit of this paper is to show the network performance which is simulated with a sink node receiving packets for different time duration and at different frequencies. The idea is to find out the optimal and efficient network for fast information flow with 50, 100, 300 nodes. The terrain area of the network is 100×50 m2, 100×100 m2, 500×500 m2 with the communication range of 10 m. The routing protocols implemented are Low-Rate Personal Area Network (LRPAN), Low-Rate Personal Area Network with Drift (LRPAND) and Low-Rate Personal Area Network with Drift and Multi-Channel. This paper has evaluated and analyzed the influence of packet flow at the different frequencies of 2.425, 2.450, 2.475 and 2.480 GHz. It is analyzed that performance of each protocol has varied significantly for different number of nodes. The performance of the network is improved by the different frequencies instead of 2.4 GHZ frequency. The parameters average end to end delay (seconds), jitter (seconds), throughput (bits per second) and network lifetime (hours) for different protocols such as LRPAN, LRPAND and LRPANDMC for different numbers of nodes 50, 100 and 300 are evaluated and compared. The optimum results are obtained by the LRPANDMC in the simulation process. Evaluation and analysis of the influence of different protocols on different number of nodes for different parameters has been done to determine most effective protocol. This type of network can be used in oil and gas industries, petroleum industries at remote areas where there are high chances of gas leakage incidents. The aim is to provide information in real-time scenario virtually.
Keywords: Gas leakage, IEEE 802.15.4, ZigBee, LRWPAN, LRWPAND, LRWPANDMC, Qual Net 6.1, Wireless Sensor Network.
Scope of the Article: Agent Architectures, Ontologies, Languages and Protocols.