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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Li Bai Ferrese, F. Ploskina, K. Biswas, S. |
| Copyright Year | 2009 |
| Description | Author affiliation: Electrical and Computer Engineering Department Temple University Philadelphia, PA 19122, USA (Li Bai; Ferrese, F.; Ploskina, K.; Biswas, S.) |
| Abstract | In this paper, we describe a reliability model which can be used to analyze the performance and power consumption in resource constrained, data rate scarce, mobile agent-based wireless sensor network (WSN) systems. The primary model is referred to as a generalize access structure congestion (GGC) system [3] which is an extended model from a circular sequential k-out-of-n congestion (CSknC) [2]. There are many other reliability models which can be used to study WSN systems, but they are not suitable to analyze and address mobile agent-based multisensory WSN systems. These systems are not based on a centralized architecture because they use mobile agent technologies to distribute decision tasks at local nodes. By employing mobile agent technologies, the systems can make accurate decisions quickly and reduce data rate and data redundancy problems. An important research problem is to determine how to maintain efficient duty cycle by using multiple types of sensors without centralized architecture and with mobile agent technologies. From the GGC model, we can develop a method to determine an optimal power management scheme by computing an efficient duty cycle in mobile agent-based multisensory WSN systems. |
| Starting Page | 16 |
| Ending Page | 19 |
| File Size | 1093719 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424449033 |
| DOI | 10.1109/ICRMS.2009.5270248 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-07-20 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Energy consumption Power system management Redundancy wireless sensor network duty cycle Power system modeling circular sequential k-out-of-n congestion generalize access structure congestion system Wireless sensor networks Mobile agents mobile agent Computer architecture Performance analysis Power system reliability Energy management |
| Content Type | Text |
| Resource Type | Article |
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