Abstract
Wireless Sensor Networks (WSNs) are vulnerable to various security threats. One of the most common types of vulnerability threat is the jamming attack, where the attacker uses the same frequency signals to jam the network transmission. In this paper, an edge node scheme is proposed to address the issue of jamming attack in WSNs. Three edge nodes are used in the deployed area of WSN, which have different transmission frequencies in the same bandwidth. The different transmission frequencies and Round Trip Time (RTT) of transmitting signal makes it possible to identify the jamming attack channel in WSNs transmission media. If an attacker jams one of the transmission channels, then the other two edge nodes verify the media serviceability by means of transmitting information from the same deployed WSNs. Furthermore, the RTT of the adjacent channel is also disturbed from its defined interval of time, due to high frequency interference in the adjacent channels, which is the indication of a jamming attack in the network. The simulation result was found to be quite consistent during analysis by jamming the frequency channel of each edge node in a step-wise process. The detection rate of jamming attacks was about 94% for our proposed model, which was far better than existing schemes. Moreover, statistical analyses were undertaken for field-proven schemes, and were found to be quite convincing compared with the existing schemes, with an average of 6% improvement.
Highlights
Advancement in electronics and wireless communication systems leads to the implementation of wireless sensor networks (WSNs)
WSN is a collection of wireless nodes, which are deployed in unstructured environment where they can collect and process information according to their assigned task
By the encouragement of this statement, we considered a wireless network infrastructure of dynamic number of nodes in this research, whose communication is controlled by three edge nodes and round trip time (RTT)
Summary
Advancement in electronics and wireless communication systems leads to the implementation of wireless sensor networks (WSNs). WSN is a collection of wireless nodes, which are deployed in unstructured environment where they can collect and process information according to their assigned task. WSN contains several wireless nodes, which has storage, processing and communication capabilities. Wireless sensors are tiny devices, which are deployed in an infrastructure-free environment to collect information according to their assigned task [1]. These networks have various applications in the real world.
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