SPEEDA: A Secure Protocol and Energy Efficient for Data Aggregation in Wireless Sensor Networks

  • Authors

    • Sarah Wayzani
    • Chérif Diallo
    2018-11-28
    https://doi.org/10.14419/ijet.v7i4.20.27422
  • Wireless Sensor Network (WSN), Security, Aggregation, Routing, SPEEDA.

  • Abstract

    Wireless Sensor Networks (WSN) consists of a set of small and resources-constrained devices. They have received much attention over the last few years for the study and development of a plethora of potential applications. However, the common denominator of all applications of these sensor networks is the vulnerability of micro-sensors because of their limited material resources the most constraining of which is energy. In fact, wireless sensors are limited in terms of calculation, storage, battery, etc. Therefore, every possible solution that aims to conserve these resources is extensively sought. Thus, a great deal of researches has been conducted leading to an effective technique answering the established problem. This solution concerns the aggregation of data which is one of the techniques that is actually considered as an essential paradigm for sensor networks since it tends to save computation and communication resources. Data aggregation allows in-network processing which leads to lesser packet transmissions and reduces redundancy, and therefore, helps in increasing network’s overall lifetime. However, sensor networks are usually deployed in unattended and hostile environments.

    Thus, the designer should not only consider the limited resources of the sensor nodes but also the security threats that can occur in an easily accessible network to the attacker. In this paper, we will give an overview study of the existing data aggregation solutions in wireless sensor networks then, we will propose a new efficient and secure approach to aggregation which can be evaluated with specific criteria.

     


     

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  • How to Cite

    Wayzani, S., & Diallo, C. (2018). SPEEDA: A Secure Protocol and Energy Efficient for Data Aggregation in Wireless Sensor Networks. International Journal of Engineering & Technology, 7(4.20), 598-605. https://doi.org/10.14419/ijet.v7i4.20.27422

    Received date: 2019-02-13

    Accepted date: 2019-02-13

    Published date: 2018-11-28