scholarly journals Event-MILP-Based Task Allocation for Heterogeneous Robotic Sensor Network for Thermosolar Plants

2021 ◽  
Vol 102 (1) ◽  
Author(s):  
Javier G. Martin ◽  
Ramon A. García ◽  
Eduardo F. Camacho
Keyword(s):  
Sensor Network ◽  
Task Allocation ◽  
Robotic Sensor

An Energy Efficiency Task Allocation Method Based on Reasoning Model in Wireless Sensor Network

2011 ◽  
Vol 268-270 ◽  
pp. 440-445
Author(s):  
Wang Lan Tian ◽  
Hong Yan Lei
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Task Allocation ◽  
Energy Efficient ◽  
Negotiation Process ◽  
Energy Threshold ◽  
Wireless Sensor ◽  
Level Energy ◽  
Allocation Model

In this paper, a reasoning model is proposed for energy efficiency task allocation in wireless sensor network. The presented energy efficient contract net protocol is used to implement the negotiation process. Multi-issue scoring function can evaluate the offer with multi-issues in a quantifiable way. An energy threshold is brought to decrease communications which will turn out to decrease nodes’ energy consumption. And the usage of energy threshold also promote the nodes with high level energy have more chance to implement tasks. The simulation results show that the allocation model has outstanding performance maintaining a fair energy balance and is energy efficient in negotiation process.

Decentralized control for mobile robotic sensor network self-deployment: barrier and sweep coverage problems

Robotica ◽  
2010 ◽  
Vol 29 (2) ◽  
pp. 283-294 ◽  
Author(s):  
Teddy M. Cheng ◽  
Andrey V. Savkin
Keyword(s):  
Sensor Network ◽  
Decentralized Control ◽  
Nearest Neighbor ◽  
Barrier Coverage ◽  
Control Law ◽  
Motion Coordination ◽  
Robotic Sensor ◽  
Information Consensus ◽  
Coverage Problems ◽  
Robotic Sensors

SUMMARYThis paper addresses the problems of barrier coverage and sweep coverage in a corridor environment with a network of self-deployed mobile autonomous robotic sensors. Using the ideas of nearest neighbor rules and information consensus, we propose a decentralized control law for the robotic sensors to solve the coverage problems. Numerical simulations illustrate the effectiveness of the proposed algorithm. The results in this paper demonstrate that such simple motion coordination rules can play a significant role in addressing the issue of coverage in a mobile robotic sensor network.

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