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Wireless sensor networks are fundamental blocks of Internet of Things (IoT) which sense a physical phenomenon and aggregates the sensed data. Numerous IoT applications require human intervention for network maintenance. Several approaches have been proposed in the literature for creating the location map (localization) that associates physical locations to the nodes. However, searching a node of interest...
This article proposes a novel data gathering scheme for wireless sensor networks to reduce energy consumption for a prolonged network lifetime. Data gathering is modeled as random node sampling method, where fusion center collects data from arbitrarily deployed randomly selected nodes and takes the global decision. We evaluate performance of our method with metrics: energy consumption and error performance...
Wireless Sensor Networks (WSN) are integrable basic elements of Internet of Things (IoT). WSN deployment is constrained with sensor node's energy, communication range, limited on-board resources etc. Optimization of the energy consumption over the network to improve network lifetime is a challenging problem. Compressed Sensing (CS) involvement in WSN brought a solution to energy efficient data aggregation...
Numerous applications of Wireless Sensor Network (WSN) requires a location map of sensor nodes for smart interaction, to ease the manual servicing of nodes etc. To create a location map, the primary task involves finding the locations of sensor nodes with an assumed reference origin (localization). This study proposes a mobile phone (commercial off-the-shelf mobile hardware) based acoustic localization...
This paper presents a system for the purpose of field deployment of nodes in wireless sensor networks. We propose a mobile phone based deployment adviser tool which is robust as well as practically implementable. The tool advises a layman deployer to create a optimized wireless sensor network by placing of the nodes according to application requirements. The tool is presented here as logically linked...
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