System architecture directions for networked sensors
ASPLOS IX Proceedings of the ninth international conference on Architectural support for programming languages and operating systems
A Network-Centric Approach to Embedded Software for Tiny Devices
EMSOFT '01 Proceedings of the First International Workshop on Embedded Software
PEAS: A Robust Energy Conserving Protocol for Long-lived Sensor Networks
ICDCS '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
IEEE Transactions on Computers
Random Coverage with Guaranteed Connectivity: Joint Scheduling for Wireless Sensor Networks
IEEE Transactions on Parallel and Distributed Systems
A survey of energy-efficient scheduling mechanisms in sensor networks
Mobile Networks and Applications
Lightweight deployment-aware scheduling for wireless sensor networks
Mobile Networks and Applications
Coverage and Lifetime Optimization of Wireless Sensor Networks with Gaussian Distribution
IEEE Transactions on Mobile Computing
Lifetime maximization for connected target coverage in wireless sensor networks
IEEE/ACM Transactions on Networking (TON)
DILAND: an algorithm for distributed sensor localization with noisy distance measurements
IEEE Transactions on Signal Processing
An application-specific protocol architecture for wireless microsensor networks
IEEE Transactions on Wireless Communications
Information Coverage in Randomly Deployed Wireless Sensor Networks
IEEE Transactions on Wireless Communications
Hi-index | 0.00 |
This paper addresses the problem of maximizing sensor networks lifetime as well as maintaining sufficient sensing coverage. To solve the problem, the calculation model of redundancy degree of the sensors whose sensing ranges satisfy the normal distribution without location information is proposed, and the calculation model of minimum of working nodes which can provide the desired quality of coverage (QoC) is also proposed. Based on the models, an Energy-Efficient and Coverage-Specific Node Scheduling for Wireless Sensor Networks (ECNS), which realizes collaborative scheduling of distributed nodes, is designed to guarantee the desired QoC with the least number of nodes and balance the energy consumption of each node. Simulation results show that ECNS can provide the desired QoC as well as reduce the total energy consumption effectively. In addition, ECNS can also make the energy consumption of each node homogeneously with low control overhead.