Integrating Wireless Sensor Networks with the Grid
IEEE Internet Computing
AgentTeamwork: Coordinating grid-computing jobs with mobile agents
Applied Intelligence
Utility-based QoS optimisation strategy for multi-criteria scheduling on the grid
Journal of Parallel and Distributed Computing
Joint QoS optimization for layered computational grid
Information Sciences: an International Journal
An Integrated and Flexible Scheduler for Sensor Grids
UIC '07 Proceedings of the 4th international conference on Ubiquitous Intelligence and Computing
DCOSS '08 Proceedings of the 4th IEEE international conference on Distributed Computing in Sensor Systems
A Sensor Grid Infrastructure for Large-Scale Ambient Intelligence
PDCAT '08 Proceedings of the 2008 Ninth International Conference on Parallel and Distributed Computing, Applications and Technologies
A Distributed Architecture of Sensing Web for Sharing Open Sensor Nodes
GPC '09 Proceedings of the 4th International Conference on Advances in Grid and Pervasive Computing
Sensor grid applications in patient monitoring
Future Generation Computer Systems
International Journal of Sensor Networks
Providing service-oriented abstractions for the wireless sensor grid
GPC'07 Proceedings of the 2nd international conference on Advances in grid and pervasive computing
A multiagent framework for coordinated parallel problem solving
Applied Intelligence
Agent-based execution of personalised home care treatments
Applied Intelligence
A generic architecture for sensor data integration with the grid
SAG'04 Proceedings of the First international conference on Scientific Applications of Grid Computing
An intelligent agent model with awareness of workflow progress
Applied Intelligence
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Sensor enabled grid may combine real time data about physical environment with vast computational resources derived from the grid architecture. One of the major challenges of designing a sensor enabled grid is how to efficiently schedule sensor resource to user jobs across the collection of sensor resources. The paper presents an agent based scheme for assigning sensor resources to appropriate sensor grid users on the basis of negotiation results among agents. The proposed model consists of two types of agents: the sensor resource agents that represent the economic interests of the underlying sensor resource providers of the sensor grid and the sensor user agents that represent the interests of grid user application using the grid to achieve goals. Interactions between the two agent types are mediated by means of market mechanisms. We model sensor allocation problems by introducing the sensor utility function. The goal is to find a sensor resource allocation that maximizes the total profit. This paper proposes a distributed optimal sensor resource allocation algorithm. The performance evaluation of proposed algorithm is evaluated and compared with other resource allocation algorithms for sensor grid. The paper also gives the application example of proposed approach.