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Adaptive Task Selection using Threshold-based Techniques in Dynamic Sensor Networks

By W.S. Haboush
Topics: QA76
OAI identifier: oai:kar.kent.ac.uk:24027

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  1. (2005). A biologicallyinspired approach to designing wireless sensor networks. doi
  2. (2003). A collaborative approach to in-place sensor calibration. doi
  3. (2007). A comparison of agent paradigms for resource management in distributed sensor networks.
  4. (2005). A control model of multi-purpose sensor networks by policies. doi
  5. (2004). A machine learning method for improving task allocation in distributed multirobot transportation. doi
  6. (2002). A market-based formulation of sensor-actuator network coordination.
  7. (2006). A Node Management Tool for Dynamic Reconfiguration of Application Modules in Sensor Networks, doi
  8. (2002). A survey on sensor networks. doi
  9. (2004). A swarm based approach for task allocation in dynamic agents organizations. doi
  10. (2003). Adaptive division of labor in largescale minimalist multi-robot systems. doi
  11. (2005). AHolistic Approach to Secure Sensor Networks.
  12. (2005). Algorithms for resource utilization in sensor networks.
  13. (2003). An evaluation of multi-resolution search and storage in resource-constrained sensor networks. doi
  14. (2005). An evolvable operating system for wireless sensor networks. doi
  15. (2002). An integrated design environment to evaluate power/performance tradeoffs for sensor network applications. doi
  16. (2004). An ultra low-power processor for sensor networks. doi
  17. (2004). Analysis of a stochastic model of adaptive task allocation in robots. doi
  18. (2005). Analysis of target detection performance for wireless sensor networks. doi
  19. (1998). Antnet: Distributed stigmergetic control for communications networks.
  20. (2006). Architecture of a scalable wireless sensor network for pollution monitoring.
  21. (2005). Athanasios Kinalis, and Sotiris Nikoletseas. Power conservation schemes for energy efficient data propagation in heterogeneous wireless sensor networks. doi
  22. (1997). Aura: Principles and practice in review. doi
  23. (2003). Context-aware middleware for resource management in the wireless internet. doi
  24. (2002). Coordination in dynamic environments with constraints on resources. doi
  25. (2007). Coverage breach problems in bandwidth-constrained sensor networks. doi
  26. (2003). Data centric architecture for wireless sensor networks. doi
  27. (2008). Data collection in wireless sensor networks for noise pollution monitoring. doi
  28. (2005). Development of an integrated sensor system for obstacle detection and terrain evaluation for application to unmanned ground vehicles. doi
  29. (2007). Distributed task allocation in social networks. doi
  30. (2004). Effect of overhearing transmissions on energy efficiency in dense sensor networks. doi
  31. (2004). Emergent robot differentiation for distributed multi-robot task allocation. doi
  32. (2002). Energy-efficient computing for wildlife tracking: Design tradeoffs and early experienceswith zebranet. InASPLOS,San Jose, doi
  33. (2000). Eric Bonabeau, Guy Theraulaz, and Jean-Louis Deneubourg. Dynamic Scheduling and Division of Labor in Social Insects. doi
  34. (2004). Fault tolerance in collaborative sensor networks for target detection. doi
  35. (2006). Fault-tolerantwireless sensor network routing protocols for the supervisionof context-awarephysical environments. doi
  36. (1998). Fixed response thresholds and the regulation of division of labor in insect societies. doi
  37. (2004). Flexible power scheduling for sensor networks. doi
  38. (1995). From complexity to perplexity. doi
  39. (2006). Fundamentals of Natural Computing : Basic Concepts, Algorithms, and Applications. Chapman & Hall/CRC,
  40. (2005). Guest column: Np-complete problems and physical reality. doi
  41. (2003). Guy Theraulaz, and Eric Bonabeau. Self-Organization in Biological Systems. doi
  42. (2001). Instrumenting the world with wireless sensor networks. doi
  43. (2006). Le Gruenwald, Arantza Illarramendi,
  44. (2005). Low-energy sensor network time synchronization as an emergent property. doi
  45. (1997). Molecular computing: From conformational pattern recognition to complex processing networks. doi
  46. (1995). Moving furniture with teams of autonomous robots. doi
  47. (2004). Multi-Robot Task Allocation Using Affect.
  48. (2000). Murdoch: Publish/subscribe task allocation for heterogeneous agents. doi
  49. (2004). Network coverage using low dutycycled sensors: Random & coordinated sleep algorithms. doi
  50. (2004). Networking issues in wireless sensor networks.
  51. (1999). Next century challenges: scalable coordination in sensor networks. doi
  52. (2004). On the scalability of hierarchical cooperation for dense sensor networks. doi
  53. (2004). Overview of sensor networks. doi
  54. (1996). Performance and hardware complexity tradeoffs in designing multithreaded architectures. doi
  55. (1995). Phase diagram of a model of self-organizing hierarchies. Physica A Statistical Mechanics and its Applications, doi
  56. (2002). Prahlad Fogla, Zhiyuan Zhan, and Mustaque Ahamad. A context-aware security architecture for emerging applications. doi
  57. (1998). Protein folding in the hydrophobichydrophilic (hp) is np-complete. doi
  58. (2007). Relay node selection in randomly deployed homogeneous clustered wireless sensor networks. doi
  59. (2004). Routing techniques in wireless sensor networks: A survey. doi
  60. (2002). Selforganization in ad hoc sensor networks: An empirical study.
  61. (2004). Sensor networks formonitoring traffic.
  62. (2006). Simulation architecture for data processing algorithms in wireless sensor networks. doi
  63. (2007). Software design patterns for tinyos. doi
  64. (2002). Sold!: Auction methods for multirobot coordination. doi
  65. (2001). Sold!: Marketmethods for multirobot control.
  66. (2006). Som-based dynamic power management (sdpm) framework for wireless sensor networks. doi
  67. (2003). SystemArchitecture forWireless Sensor Networks.
  68. Task allocation methodologies for multi-robot systems. doi
  69. (2006). Technologies for highly miniaturized autonomous sensor networks. doi
  70. (2005). The coverageproblem in awireless sensor network.
  71. (2006). The Other Insect Societies. doi
  72. (2008). The pothole patrol: Using a mobile sensor network for road surface monitoring.
  73. (2001). The Self-made Tapestry: Pattern Formation in Nature. doi
  74. (2004). The use of internal state in multirobot coordination.
  75. (1997). Theraulaz, and Jean-Luis Deneubourg. Adaptive task allocation inspired by amodel of division of labor in social insects.
  76. (2000). Three-dimensional architectures grown by simple stigmergic agents. doi
  77. (2002). Towards a sentient object model.
  78. (2004). Towards developing sensor networks monitoring as a middleware service. doi
  79. (2006). Ultra Low Power Transmitters for Wireless Sensor Networks. doi
  80. (1989). Varying the probability of mutation in the genetic algorithm.
  81. (2006). When underwater acoustic nodes should sleepwith one eye open: idle-time power management in underwater sensor networks. doi
  82. (1998). Wireless integrated network sensors: Lowpower systems on a chip. European Solid State Circuits Conference,
  83. (2008). Wireless sensor networks for environmental monitoring: The sensorscope experiBIBLIOGRAPHY 224 ence. doi
  84. (2006). Zigbee specifications. Last updated

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