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Y. Zhang and Q. F. Huang, “Adaptive Tree: A Learning- Based Meta-Routing Strategy for Sensor Networks,” Pro- ceedings of 3rd IEEE Consumer Communications and Networking Conference, 8-10 January 2006, pp. 122-126.

has been cited by the following article:

• TITLE: Performance Tradeoff with Routing Protocols for Radio Models in Wireless Sensor Networks

  AUTHORS: Manju Bala, Lalit Awasthi

  KEYWORDS: Constraint-Based Routing, Meta-Strategies, Real-Time Reinforcement Learning, Routing Tree, Wireless Sensor Networks

  JOURNAL NAME: Wireless Engineering and Technology, Vol.2 No.2, April 1, 2011

  ABSTRACT: In this paper, we have simulated and evaluated the performance tradeoff with routing protocols: Constrained Flooding, the Real-Time Search and the Adaptive Tree on MICA and MICAz platform with different radio models using PROWLER for wireless sensor networks. The simulation results establish that the MICAz motes give low latency, high throughput, high energy consumption, low efficiency but better lifetime while the MICA motes give high success rate and less loss rate. It has been, thus, concluded that in case of all the radio models the MICAz is preferably better than MICA in applications where energy is a constraint. Moreover, use of MICAz motes increases the network lifetime in comparison to MICA for the radio models. Further, the AT protocol can be applied to achieve better energy consumption, efficiency and lifetime in real time for wireless sensor networks.