Strategies For Secure Data Aggregation in Wireless Sensor Networks and Optimization Issues: A Comprehensive Survey

Abstract

Recent improvements to wireless sensor networks (WSNs) have led to new ways to use them, such as for surveillance and monitoring the environment. The energy that SNs use to send and receive data is a disproportionately large part of the total energy that the network uses. Data aggregation methods, on the other hand, can cut down on energy use by preventing unnecessary data from being sent back to the sink node. It is very important to protect the privacy of personally identifiable information when it is being gathered and sent over a network, because nodes can be changed by what is around them. As a result, researchers are increasingly interested in finding data aggregation strategies that reduce redundant data while still providing assurance of security. In this paper, we will look at the various security measures that may be taken while aggregating data using WSN. Despite WSNs' impressive task-handling capabilities, it is challenging to strike a balance between competing priorities such as long network life, low-latency transmissions, wide coverage, and low packet loss. In addition, this study provides a brief overview of the multi-objective optimization (MOO) approach, which is being used to solve contemporary research issues in WSN with competing objectives.