Stochastic modelling and analysis: a computational approach
Stochastic modelling and analysis: a computational approach
Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Design Considerations for Energy-Efficient Radios in Wireless Microsensor Networks
Journal of VLSI Signal Processing Systems
Versatile low power media access for wireless sensor networks
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Training a wireless sensor network
Mobile Networks and Applications
Wireless sensor networks: A survey on the state of the art and the 802.15.4 and ZigBee standards
Computer Communications
Harnessing Green IT: Principles and Practices
IT Professional
Maximization of energy efficiency in wireless ad hoc and sensor networks with SERENA
Mobile Information Systems - Advances in Wireless Networks
Mobile Information Systems - Mobile and Wireless Networks
A green wireless sensor network for environmental monitoring and risk identification
International Journal of Sensor Networks
CSE '11 Proceedings of the 2011 14th IEEE International Conference on Computational Science and Engineering
Implementation of a Remote Hierarchical Supervision System Using Petri Nets and Agent Technology
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Intelligent Industrial Data Acquisition and Energy Monitoring using Wireless Sensor Networks
International Journal of Grid and High Performance Computing
Mobile Information Systems - Emerging Wireless and Mobile Technologies
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Power efficiency is a crucially important issue in the IEEE 802.15.4/ZigBee sensor networks ZSNs for majority of sensor nodes equipped with non-rechargeable batteries. To increase the lifetime of sensor networks, each node must optimize power consumption as possible. Among open literatures, much research works have focused on how to optimally increase the probability of sleeping states using multifarious wake-up strategies. Making things different, in this article, we propose a novel optimization framework for alleviating power consumption of sensor node with the D-policy M/G/1 queuing approach. Toward green sensor field, the proposed power-saving technique can be applied to prolong the lifetime of ZSN economically and effectively. For the proposed data aggregation model, mathematical framework on performance measures has been formulated. Data simulation using MATLAB tool has been conducted for exploring the feasibility of the proposed approach. And also we analyze the average traffic load per node for tree-based ZSN. Focusing on ZigBee routers deployed at the innermost shell of ZSN, network simulation results validate that the proposed approach indeed provides a feasibly cost-effective approach for prolonging lifetime of ZSNs.