Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
Dynamic Power Management in Wireless Sensor Networks
IEEE Design & Test
A Survey on Data Compression in Wireless Sensor Networks
ITCC '05 Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'05) - Volume II - Volume 02
Cost-Effective Maximum Lifetime Routing Protocol for Wireless Sensor Networks
AICT-SAPIR-ELETE '05 Proceedings of the Advanced Industrial Conference on Telecommunications/Service Assurance with Partial and Intermittent Resources Conference/E-Learning on Telecommunications Workshop
Models and solutions for radio irregularity in wireless sensor networks
ACM Transactions on Sensor Networks (TOSN)
Energy-aware lossless data compression
ACM Transactions on Computer Systems (TOCS)
A distributed energy-efficient clustering protocol for wireless sensor networks
Computers and Electrical Engineering
A detailed review of energy-efficient medium access control protocols for mobile sensor networks
Computers and Electrical Engineering
Lifetime maximisation algorithm in Wireless Sensor Network
International Journal of Ad Hoc and Ubiquitous Computing
Adaptive image compression technique for wireless sensor networks
Computers and Electrical Engineering
Computers and Electrical Engineering
Computational Intelligence in Wireless Sensor Networks: A Survey
IEEE Communications Surveys & Tutorials
IEEE Communications Magazine
The evolution game analysis of clustering for asymmetrical multi-factors in WSNs
Computers and Electrical Engineering
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A routing algorithm named Sub-Game Energy Aware Routing (SGEAR) modeled by Dynamic Game Theory is proposed in this paper to make better routing choices. SGEAR takes the residual energy of the nodes and the energy consumption of the path into consideration and achieves Nash Equilibrium using Backward Induction. Compared with Energy Aware Routing, SGEAR can provide stable routing choices for relaying nodes and the energy of the network can still burn evenly. Moreover, this algorithm is more suitable for being combined with sleeping scheduling scheme and thus prolongs the lifetime of Wireless Sensor Networks. Simulation results show that, combined with sleeping scheduling scheme, SGEAR has an increase of 20% in energy saving compared with Energy Aware Routing.