Abstract

View of wireless sensor network (WSN) devices is small but have exceptional functionality. Each node of a WSN must have the ability to compute and process data and to transmit and receive data. However, WSN nodes have limited resources in terms of battery capacity, CPU, memory, bandwidth, and data security. Memory limitations mean that WSN devices cannot store a lot of information, while CPU limitations make them operate slowly and limited battery capacity makes them operate for shorter periods of time. Moreover, the data gathered and processed by the network face real security threats. This article presents an Adaptable Resource and Security Framework (ARSy) that is able to adapt to the workload, security requirements, and available resources in a wireless sensor network. The workload adaptation is intended to preserve the resource availability of the WSN, while the security adaptation balances the level of security with the resource utilization. This solution makes resources available on the basis of the workload of the system and adjusts the level of security for resource savings and makes the WSN devices work more efficiently.

Highlights

  • Wireless sensor network (WSN) technology enables continuous monitoring, tracking, and control

  • Memory limitations mean that wireless sensor network (WSN) devices cannot store a lot of information, while CPU limitations make them operate slowly and limited battery capacity makes them operate for shorter periods of time

  • In previous research [18], if the battery capacity is 100%, each data stream is checked, but if the battery capacity drops to a critical level, data is checked only in certain intervals decided on the basis of the availability of the battery resource, which is calculated using the sampling interval formula

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Summary

Introduction

Wireless sensor network (WSN) technology enables continuous monitoring, tracking, and control. WSN devices must be small and have exceptional functionality. They must have the ability to receive data, process the data, and send the results. Not all WSN devices have sufficient data processing or storage capabilities, and few have good batteries. The security-aware concept described in this study gives a WSN the ability to adapt the level of security to the workload [7] [8] [9] and balance resource utilization and the level of data security [7] [10] [11]. This article presents a framework that is able to adapt the availability of resources and level of security to the workload on the wireless sensor network system.

Resource of WSN Node
Resource Awareness
Mining Data
Resource-Aware and Mining Data Algorithm
Security Awareness
Security Level
Workload
Data Input
Resource Monitor
Resources Adaptation
Workload System
Data Mining and Output
Workload Solution
Security Level Solution
Findings
Conclusion
Full Text
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