Abstract
This paper presents a dynamic task allocation method for smart cameras
targeting traffic surveillance. Since our target platforms are distributed embedded
systems with limited resources, the task allocation has to be light-weight,
flexible as well as scalable and has to support real-time requirements. Therefore,
surveillance tasks are not allocated to smart cameras directly, but to groups of smart
cameras, so called surveillance clusters. We formulate the allocation problem as a
distributed constraint satisfaction problem (DCSP) and present a distributed method
for finding feasible allocations. Finally, a cost function is used to determine the
optimal allocation of tasks. We have realized this dynamic task allocation using heterogeneous,
mobile agents which utilize their agencies and our embedded software
framework to find the most appropriate mapping of tasks in a distributed manner. The
dynamic task allocation has been implemented on our smart cameras (SmartCam)
which are comprised of a network processor and several digital signal processors
(DSPs) and provide a complex software framework.
| Original language | English |
|---|---|
| Title of host publication | 3rd IEEE Workshop on Intelligent Solutions in Embedded Systems (WISES 2005) |
| Pages | 17-26 |
| Number of pages | 10 |
| Publication status | Published - 2005 |
| Event | 3rd IEEE Workshop on Intelligent Solutions in Embedded Systems (WISES 2005) - Duration: 1 Jan 2005 → … |
Conference
| Conference | 3rd IEEE Workshop on Intelligent Solutions in Embedded Systems (WISES 2005) |
|---|---|
| Period | 1/01/05 → … |
Research Field
- Not defined
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