Randomly Deployed Wireless Sensor Networks
Auteur : Chen Xi
Wireless sensor networks have a range of applications, including military uses and in environmental monitoring. When an area of interest is inaccessible by conventional means, such a network can be deployed in ways resulting in a random distribution of the sensors. Randomly Deployed Wireless Sensor Networks offers a probabilistic method to model and analyze these networks. The book considers the network design, coverage, target detection, localization and tracking of sensors in randomly deployed wireless networks, and proposes a stochastic model. It quantifies the relationship between parameters of the network and its performance, and puts forward a communication protocol. The title provides analyses and formulas, giving engineering insight into randomly deployed wireless sensor networks. Five chapters consider the analysis of coverage performance; working modes and scheduling mechanisms; the relationship between sensor behavior and network performance properties; probabilistic forwarding routing protocols; localization methods for multiple targets and target number estimation; and experiments on target localization and tracking with a Mica sensor system.
Researchers, academics, practicing engineers, and advanced students working on wireless sensor networks
- Details a probabilistic method to model and analyze randomly deployed wireless sensor networks
- Gives working modes and scheduling mechanisms for sensor nodes, allowing high-probability of target detection
- Considers the relationship between sensor behaviour and network performance and lifetime
- Offers probabilistic forwarding routing protocols for randomly deployed wireless sensor networks
- Describes a method for localizing multiple targets and estimating their number
Date de parution : 06-2020
Ouvrage de 134 p.
19x23.3 cm
Thèmes de Randomly Deployed Wireless Sensor Networks :
Mots-clés :
analysis; applications; clustering; complete coverage; data transmission; detection; effective nodes; location-based algorithm; location-free algorithm; maximum likelihood estimation; minimum description length; multiresolution search; multisource number estimation; network lifetime; node failure; optimization; percentage coverage; point coverage; probability; relay probability; research topics; static wireless sensor networks; stochastic scheduling; wireless sensor network; wireless sensor networks; working probability