A Robust Low Power Security System for Multi-Node Communication

Abstract

Wireless sensor network (WSN) is a collection of sensors organized into a cooperative network. The sensors are monitor the physical or environmental conditions, such as temperature, sound, pressure, etc. and to cooperatively pass their data through the network to a main location. Security and energy consumption are considered to be long-lasting technical challenges in WSNs. In order to avoid this security and energy consumption problem, channel aware encryption and decision fusion is to provide a secure transmission from sensors to the Ally Fusion Center (AFC) without using any traditional cryptographic techniques. Consider a passive eavesdropping where an Enemy Fusion Center (EFC) located in a vicinity of an AFC tries to eavesdrop on wireless communication between sensors and AFC. Two groups of sensors are activated and send their data in different ways by a random exploiting channel gain over parallel access channel to the AFC.AFC properly detect the target while the EFC is totally ignorant it. The performance evaluation show that detection performance at the AFC exponentially decays with growing the number of sensors. Clustering technique provides an effective way to overcome these problems. Clustering technique can partition the nodes into clusters and select the cluster head (CH) among the nodes and Non Cluster Head (NCH) nodes. The CH receive the data from other nodes then sent to a sink to accomplish a specific goal.CH remain closer to their follower sensor nodes compared to the sink. It take less energy to transmit data to the cluster head instead of the sink, which allows the sensor nodes to conserve more energy and live longer in WSN, also provide a secure communication from nodes to the main station.

Authors and Affiliations

Lazeena V P

Keywords

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  • EP ID EP241038
  • DOI -
  • Views 113
  • Downloads 0

How To Cite

Lazeena V P (2015). A Robust Low Power Security System for Multi-Node Communication. International journal of Emerging Trends in Science and Technology, 2(6), 2710-2716. https://europub.co.uk/articles/-A-241038