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Multi Base Station optimized Positioning for Black Hole Attacks in Wireless Sensor Networks

Gagan Singla, Sourav Garg, Jagbir Singh Gill, Gaurav Goyal, Tejpal Sharma, Upinder Pal Singh

Abstract


Abstract

A wireless sensor network (WSN) consists of distributed autonomous sensors to monitor environmental or physical conditions, such as temperature, sound, pressure, etc. and to pass your data to the main location through the network data through the network to the main location. Modern networks are bidirectional. They also allow control of sensor activity. So, the main problem for this is security, since some attacks are presented in the network to capture the information. One of the attacks is a black hole that is an attack that is mounted by an external adversary on a subset of the sensor nodes (SN) in the network. The adversary captures these nodes and reschedules them so that they do not transmit any data packets, that is, the packets they generate and the packets of other SNs that they must forward. In this approach, we successfully deliver the packets in the presence of a black hole attack by using multiple base stations with an optimized position using a genetic algorithm (GA). Our results show that the delivery of packages has improved with respect to previous approaches such as BAMBi. The results are shown with the help of the MATLAB software.

Keywords: Wireless sensor networks, genetic algorithm, sensor nodes, base station, black hole

Cite this Article

Gagan Singla, Sourav Garg, Jagbir Singh Gill et al. Multi BaseStation optimized positioning for Black Hole Attacks in Wireless Sensor Networks. Recent Trends in Sensor Research & Technology. 2018; 5(3): 19–26p.


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DOI: https://doi.org/10.37591/rtsrt.v5i3.1471

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