Many embedded devices are characterized by their resource-boundedness. Wireless Sensor Networks (WSNs) are a topical case in point, with energy being the dominant constraint. The issue of the intelligent utilization of energy in sensor nodes is of crucial importance as well as being a formidable software engineering challenge in its own right. Evaluation of an arbitrary intelligence mechanism is difficult as it involves various environmental uncertainties thereby making its effectiveness difficult to assess. Within this paper, Sensorworld is harnessed as a platform for the evaluation and comparison of resource-bounded intelligence. A suite of simulations on effectiveness, utility and energy consumption within the context of dynamism and reasoning strategy are presented. These demonstrate that the validation and comparison of different reasoning strategies is a viable and attainable objective within computationally resource-constrained scenarios.
['Song Shen', "Gregory M. P. O'Hare", "Michael J. O'Grady", 'Guangqing Wang']
Simulating resource-bounded intelligence for wireless sensor networks