A Study on Memory Management in Wireless Sensor Nodes during Key Agreement Generation
Lunda Machaya, Simon Tembo · International Journal of Networks and Communications · 2016
The objective of the research was to efficiently manage memory in wireless sensor nodes during key agreement generation using minimax sampling. The wireless sensor nodes are faced with scarce memory resources, which limits their computing power and communication capabilities in highly dynamic environments. Wireless sensor networks represents a new generation of distributed embedded systems with a wide range of real-time applications. The applications of such nodes include process control, fire monitoring, cross border surveillance, health care, fixed and mobile asset tracking, agriculture, highway surveillance. In our research, we have proposed minimax sampling during key agreement generation to efficiently manage memory usage in wireless sensor nodes. The adopted experimental approach involved the use of Matlab. The signal was analysed at various frequencies using uniform sampling to determine memory variations with changes in the number of samples considered for key agreement generation. The results showed that as the number of samples increases, the memory usage in the wireless sensor node increases and vice versa. Our proposed minimax sampling method reduces the number of samples, thereby efficiently managing the memory. This results in memory availability for other tasks in the wireless sensor node.