Abstract
Wireless Sensor Network is a collection of spatially distributed sensor nodes/motes those are connected wirelessly to form network topology. However, despite their great usefulness they are also vulnerable to misbehaviours. One such misbehaviour is Transfaultyness in which a sensor node is unable to transmit the data correctly under the effect of radiation, and it is called as Transfaulty node. Sensor node affected by radiation becomes isolated from the network, thus a dynamic hole is formed in the network. Formation of these dynamic holes in the wireless sensor network leads to data loss. To handle loss of data due to transfaulty nodes in WSN few algorithms have been proposed but none of them is efficient in large network having few thousands of sensor nodes. In our method, we have considered a large wireless sensor network having more than 1000 sensor nodes. We have used sensor nodes with dual mode of communication i.e. (1) Radio Frequency (RF) mode of communication and (2) Acoustic (AC) mode of communication. The nodes inside dynamic hole communicate using acoustic mode, nodes at the boundary of holes communicate using both RF and acoustic mode and all other nodes communicate using RF mode. Determination of transmission failure nodes is also predicted based on its previous observations. Simulation results show that our proposed algorithm achieves better throughput, energy efficiency, running time as compared to other proposed algorithms.
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Pandey, M., Dhanoriya, S., Bhagat, A. (2018). Fast and Efficient Data Acquisition in Radiation Affected Large WSN by Predicting Transfaulty Nodes. In: Bhattacharyya, P., Sastry, H., Marriboyina, V., Sharma, R. (eds) Smart and Innovative Trends in Next Generation Computing Technologies. NGCT 2017. Communications in Computer and Information Science, vol 828. Springer, Singapore. https://doi.org/10.1007/978-981-10-8660-1_19
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