A probabilistic zonal approach for swarm-inspired wildfire detection using sensor networks
International Journal of Communication Systems
An In-Network Querying Framework for Wireless Sensor Networks
IEEE Transactions on Parallel and Distributed Systems
MEDiSN: Medical emergency detection in sensor networks
ACM Transactions on Embedded Computing Systems (TECS)
Rendezvous MAC protocols for use in cognitive radio networks
MILCOM'09 Proceedings of the 28th IEEE conference on Military communications
Autonomous vehicle coordination with wireless sensor and actuator networks
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
Bio-inspired algorithms for autonomous deployment and localization of sensor nodes
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
On network connectivity of wireless sensor networks for sandstorm monitoring
Computer Networks: The International Journal of Computer and Telecommunications Networking
Performance modeling of the LEACH protocol for mobile wireless sensor networks
Journal of Parallel and Distributed Computing
Multi-Path Routing Protocol with Unavailable Areas Identification in Wireless Sensor Networks
Wireless Personal Communications: An International Journal
MAC protocol for contacts from survivors in disaster areas using multi-hop wireless transmissions
AINTEC'05 Proceedings of the First Asian Internet Engineering conference on Technologies for Advanced Heterogeneous Networks
IEEE Wireless Communications
Enhanced Differential Evolution With Adaptive Strategies for Numerical Optimization
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Communications Magazine
A wireless biosensor network using autonomously controlled animals
IEEE Network: The Magazine of Global Internetworking
Information Sciences: an International Journal
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The wireless sensor network (WSN) technology has applied in monitoring natural disasters for more than one decade. Disasters can be closely monitored by augmenting a variety of sensors, and WSN has merits in (1) low cost, (2) quick response, and (3) salability and flexibility. Natural disaster monitoring with WSN is a well-known data intensive application for the high bandwidth requirements and stringent delay constraints. It manifests a typical paradigm of data-intensive application upon low-cost scalable system. In this study, we first assessed representative works in this area by classifying those in the domains of application of WSNs for disasters and optimization technologies significantly distinguishing these from general-purpose WSNs. We then described the design of an early warning system for geohazards in reservoir region, which relies on the WSN technology inspired by the existing work with focuses on issues of (1) supporting reliable data transmission, (2) handling huge data of heterogeneous sources and types, and (3) minimizing energy consumption. This study proposes a dynamic routing protocol, a method for network recovery, and a method for managing mobile nodes to enable real-time and reliable data transmission. The system incorporates data fusion and reconstruction approaches to bring together all data into a single view of the geohazard under monitoring. A distributed algorithm for joint optimal control of power and rate has been developed, which can improve utility of network ( 95 %) and to minimize the energy consumption (reduction by 20 % in comparison with LEACH). Experimental results indicate the potentials of the proposed approaches in terms of adapting to the needs of early warning on geohazards.