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has been cited by the following article:

• TITLE: A Model of Security Adaptation for Limited Resources in Wireless Sensor Network

  AUTHORS: Jumadi Mabe Parenreng, Akio Kitagawa

  KEYWORDS: Wireless Sensor Network, Resource-Aware, Security-Aware, Workload System, Limited Resources

  JOURNAL NAME: Journal of Computer and Communications, Vol.5 No.3, March 13, 2017

  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.