GloMoSim: a library for parallel simulation of large-scale wireless networks
PADS '98 Proceedings of the twelfth workshop on Parallel and distributed simulation
IEEE Transactions on Software Engineering
Seven good reasons for mobile agents
Communications of the ACM
Next century challenges: scalable coordination in sensor networks
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
Energy-aware adaptation for mobile applications
Proceedings of the seventeenth ACM symposium on Operating systems principles
Intelligent mobile agents in large distributed autonomous cooperative systems
Journal of Systems and Software - Special issue on invited articles on top systems and software engineering scholars
Wireless sensor networks for habitat monitoring
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
IEEE Concurrency
Advances in Network Simulation
Computer
Data Gathering Algorithms in Sensor Networks Using Energy Metrics
IEEE Transactions on Parallel and Distributed Systems
Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
Software Power Estimation and Optimization for High Performance, 32-bit Embedded Processors
ICCD '98 Proceedings of the International Conference on Computer Design
Performance Evaluation of Distributed Computing Paradigms in Mobile Ad Hoc Sensor Networks
ICPADS '02 Proceedings of the 9th International Conference on Parallel and Distributed Systems
Multiresolution data integration using mobile agents in distributedsensor networks
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Collaborative signal processing for target tracking in distributed wireless sensor networks
Journal of Parallel and Distributed Computing
Information fusion for wireless sensor networks: Methods, models, and classifications
ACM Computing Surveys (CSUR)
Dynamic mobile agent migration in Wireless Sensor Networks
International Journal of Ad Hoc and Ubiquitous Computing
Mobile-agent-based collaborative sensor fusion
Information Fusion
JAID: An algorithm for data fusion and jamming avoidance on distributed sensor networks
Pervasive and Mobile Computing
An energy-efficient target tracking framework in wireless sensor networks
EURASIP Journal on Advances in Signal Processing
IEEE Transactions on Information Theory
An efficient MAP classifier for sensornets
HiPC'06 Proceedings of the 13th international conference on High Performance Computing
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In this paper, we report the development of an energy-efficient, high-performance distributed computing paradigm to carry out Collaborative Signal and Information Processing (CSIP) in sensor networks using mobile agents. In this paradigm, the processing code is moved to the sensor nodes through mobile agents, in contrast to the client/server-based computing, where local data are transferred to a processing center. Although the client/server paradigm has been widely used in distributed computing, the many advantages of the mobile agent paradigm make it more suitable for sensor networks. The paper first presents simulation models for both the client/server paradigm and the mobile agent paradigm. We use the execution time, energy and energy*delay as metrics to measure the performance. Several experiments are designed to show the effect of different parameters on the performance of the paradigms. Experimental results show that the mobile agent paradigm performs much better when the number of nodes is large while the client/server paradigm is advantageous when the number of nodes is small. Based on this observation, we then propose a cluster-based hybrid computing paradigm to combine the advantages of these two paradigms. There are two schemes in this paradigm and simulation results show that there is always one scheme which performs better than either the client/server or the mobile agent paradigms. Thus, the cluster-based hybrid computing provides an energy-efficient and high-performance solution to CSIP.