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Data Aggregation Privacy in WSN Combined with Compressive Sensing

  • Samir IfzarneEmail author
  • Imad Hafidi
  • Nadia Idrissi
Conference paper
Part of the Lecture Notes in Intelligent Transportation and Infrastructure book series (LNITI)

Abstract

Wireless Sensor Network is an autonomous network where each node auto-discover its neighbors. All nodes participate to create the network map and routing tables. These tiny devices have limited power (generally a battery for the full sensor lifetime) and reduced computing resources and memory. WSN are deployed for many applications like environment monitoring and health monitoring. In order to reduce the energy consumption and increase the WSN life, adapted network protocols like routing and data aggregation are used. The scheduling of the communications also allow better management of active/idle status and hence optimize the energy consumption. Classical data compression and decompression algorithms are not adapted to WSN as requiring high memory and computation resources. Compressed sensing is an emerging method with practical results in fields like medical imaging. The adoption of compressed sensing in WSN is attracting many research efforts (Sun et al. in IEEE Wirel Commun Mag 14(5):56–63, [1], Zhou and Haas, [2], Luo et al. in Proceedings of the 15th annual international conference on Mobile computing and networking, pp 145–156, ACM, [3], Ling and Tian in IEEE Trans Signal Process 58(7):3816–3827, [4]). Ensuring data security is a key challenge for sensitive applications like health and military. We have used Homomorphic encryption to protect data confidentiality with low energy consumption.

Keywords

Wireless sensor network (WSN) Compressive sensing (CS) Encryption Data aggregation Confidentiality 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.National School of Applied ScienceENSA KhouribgaKhouribgaMorocco

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