Abstract
Flash memory has become a more widespread storage medium for modern wireless devices because of its effective characteristics like non-volatility, small size, light weight, fast access speed, shock resistance, high reliability and low power consumption. Sensor nodes are highly resource constrained in terms of limited processing speed, runtime memory, persistent storage, communication bandwidth and finite energy. Therefore, for wireless sensor networks supporting sense, store, merge and send schemes, an efficient and reliable file system is highly required with consideration of sensor node constraints. In this paper, we propose a novel log structured external NAND flash memory based file system, called Proceeding to Intelligent service oriented memorY Allocation for flash based data centric Sensor devices in wireless sensor networks (PIYAS). This is the extended version of our previously proposed PIYA [1]. The main goals of the PIYAS scheme are to achieve instant mounting and reduced SRAM space by keeping memory mapping information to a very low size of and to provide high query response throughput by allocation of memory to the sensor data by network business rules. The scheme intelligently samples and stores the raw data and provides high in-network data availability by keeping the aggregate data for a longer period of time than any other scheme has done before. We propose effective garbage collection and wear-leveling schemes as well. The experimental results show that PIYAS is an optimized memory management scheme allowing high performance for wireless sensor networks.
Highlights
The continuous improvement in hardware design and advances in wireless communication have enabled the deployment of various wireless applications
The architecture of the wireless sensor node consists of a microcontroller unit (MCU) that interconnects a data transceiver, sensors, along with analog-to-digital converters (ADCs), an energy source, and an external flash memory, see Figure 1
We show the fine granularity of data arrival in buffer of every rule by taking a small value of threshold as trigger with every individual rule buffer (TgRule) = 3 for PIYA and PIYAS schemes and as MicroHash does not sample the data so we show the consumption of media for MicroHash by keeping the trigger unset as TgRule = 0
Summary
The continuous improvement in hardware design and advances in wireless communication have enabled the deployment of various wireless applications. In WSNs, monitoring can be deployed by the following three techniques: first, each sensor node transmits its generated data to a sink node immediately [2]. This approach is referred as Sense and. The data aggregate and are sent to the sink node when it is queried [4] This approach is called Sense, Store, Merge and Send. The processor increases efficiency by reducing power consumption It runs at low frequency (~4–58 MHz) and further saves energy while the node is in standby or sleep mode. The low power microcontrollers have limited storage, typically less than
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