An Average One-hop Distance Estimation Algorithm Based on Weighted Disposal in Wireless Sensor Network

2011 ◽  
Vol 30 (5) ◽  
pp. 1222-1225 ◽  
Author(s):  
Feng Liu ◽  
Han Zhang ◽  
Ji Yang
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Distance Estimation ◽  
Estimation Algorithm ◽  
Wireless Sensor

An Energy Efficient Estimation Algorithm for Wireless Sensor Network

2011 ◽  
Vol 216 ◽  
pp. 176-180
Author(s):  
Yong Ding ◽  
Yue Mei Su
Keyword(s):  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Network Lifetime ◽  
Energy Efficient ◽  
Estimation Algorithm ◽  
Efficient Estimation ◽  
Wireless Sensor ◽  
Estimation Algorithms ◽  
Current Energy

Wireless Sensor Networks functionality is closely related to network lifetime which depends on the energy consumption, so require energy- efficient protocols to improve the network lifetime. According to the analysis and summary of the current energy efficient estimation algorithms in wireless sensor network An energy-efficient algorithm is proposed,. Then this optimization algorithm proposed in the paper is adopted to improve the traditional diffusion routing protocol. Simulation results show that this algorithm is to effectively balance the network energy consumption, improve the network life-cycle and ensure the communication quality.

scholarly journals The Algorithms of Distributed Learning and Distributed Estimation about Intelligent Wireless Sensor Network

Sensors ◽  
2020 ◽  
Vol 20 (5) ◽  
pp. 1302
Author(s):  
Fuxiao Tan
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Adaptive Learning ◽  
Learning Algorithm ◽  
Distributed Learning ◽  
Estimation Algorithm ◽  
Distributed Estimation ◽  
Wireless Sensor ◽  
Research Progress ◽  
Theoretical Frameworks

The intelligent wireless sensor network is a distributed network system with high “network awareness”. Each intelligent node (agent) is connected by the topology within the neighborhood which not only can perceive the surrounding environment, but can adjusts its own behavior according to its local perception information to constructs a distributed learning algorithms. Therefore, three basic intelligent network topologies of centralized, non-cooperative, and cooperative are intensively investigated in this paper. The main contributions of the paper include two aspects. First, based on algebraic graph, three basic theoretical frameworks for distributed learning and distributed parameter estimation of cooperative strategy are surveyed: increment strategy, consensus strategy, and diffusion strategy. Second, based on classical adaptive learning algorithm and online updating law, the implementation process of distributed estimation algorithm and the latest research progress of above three distributed strategies are investigated.

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