Computational Aspects of Distributed Sensor Network
ISPAN '02 Proceedings of the 2002 International Symposium on Parallel Architectures, Algorithms and Networks
Topology control for wireless sensor networks
Proceedings of the 9th annual international conference on Mobile computing and networking
Adaptive Data Fusion for Energy Efficient Routing in Wireless Sensor Networks
IEEE Transactions on Computers
A Survey of Fault Management in Wireless Sensor Networks
Journal of Network and Systems Management
Algorithms for Fault-Tolerant Topology in Heterogeneous Wireless Sensor Networks
IEEE Transactions on Parallel and Distributed Systems
Data fusion and topology control in wireless sensor networks
ELECTROSCIENCE'07 Proceedings of the 5th conference on Applied electromagnetics, wireless and optical communications
Fault-Tolerant Relay Node Placement in Heterogeneous Wireless Sensor Networks
IEEE Transactions on Mobile Computing
Deploying sensor networks with guaranteed fault tolerance
IEEE/ACM Transactions on Networking (TON)
EURASIP Journal on Wireless Communications and Networking
Channel aware decision fusion in wireless sensor networks
IEEE Transactions on Signal Processing
Petri net based evaluation of energy consumption in wireless sensor nodes
Journal of High Speed Networks
Journal of High Speed Networks
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A Distributed Sensor Networks DSNs can provide access to information anytime, anywhere by collecting, processing, analyzing and disseminating data. Thus, the network actively participates in creating a smart environment. DSNs promise to revolutionize sensing in a wide range of application domains. This is because of their reliability, accuracy, flexibility, cost effectiveness and ease of deployment of nodes in topology of DSN. Smart sensors can offer vigilant surveillance and can detect and collect data concerning any sign of machines failure, earthquakes, floods and even a terrorist attack. Energy efficiency, topology control and fault-tolerance are the most important issues in the development of next-generation DSNs. Fault tolerance is the ability of a system to deliver a desired level of functionality in presence of faults in the topology. Topology control as a low level service governs communication among all nodes and is hence the primary target for increasing connectivity and saving energy.In this work, we have proposed two models for fault detection and fault recovery to achieve fault tolerance in topology. The proposed fault detection model is used to detect faults at node level checking nodes energy and network level faults link failure and packet error. The proposed fault recovery model is used to achieve fault tolerance by adjusting the topology of the randomly deployed sensor nodes based on energy aware of nodes. Finally, we have evaluated the performance parameters for the proposed scheme.