Performance analysis of mobile agent-based wireless sensor network

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.

[1]  Li Bai Generalized Access Structure Congestion System , 2007, IEEE Transactions on Reliability.

[2]  Chenyang Lu,et al.  Mobile agent middleware for sensor networks: an application case study , 2005, IPSN 2005. Fourth International Symposium on Information Processing in Sensor Networks, 2005..

[3]  Alan S. Willsky,et al.  Mobile agents in adaptive hierarchical Bayesian networks for global awareness , 1998, SMC'98 Conference Proceedings. 1998 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.98CH36218).

[4]  Yu-Chee Tseng,et al.  Location Tracking in a Wireless Sensor Network by Mobile Agents and Its Data Fusion Strategies , 2003, Comput. J..

[5]  José M. Troya,et al.  Programming Approaches and Challenges for Wireless Sensor Networks , 2007, 2007 Second International Conference on Systems and Networks Communications (ICSNC 2007).

[6]  Li Bai Circular sequential k-out-of-n congestion system , 2005, IEEE Transactions on Reliability.

[7]  Jerome P. Lynch,et al.  A summary review of wireless sensors and sensor networks for structural health monitoring , 2006 .

[8]  Arkady B. Zaslavsky Mobile agents: can they assist with context awareness? , 2004, IEEE International Conference on Mobile Data Management, 2004. Proceedings. 2004.

[9]  S. Sitharama Iyengar,et al.  On computing mobile agent routes for data fusion in distributed sensor networks , 2004, IEEE Transactions on Knowledge and Data Engineering.

[10]  Hyunseung Choo,et al.  Reliability of Wireless Sensor Network with Sleeping Nodes , 2007, International Conference on Computational Science.

[11]  Hairong Qi,et al.  Mobile-agent-based collaborative signal and information processing in sensor networks , 2003, Proc. IEEE.

[12]  J. Salerno,et al.  Mobile agent-based distributed fusion (MADFUSION) system , 2005, 2005 7th International Conference on Information Fusion.

[13]  S. Sitharama Iyengar,et al.  Multiresolution data integration using mobile agents in distributed sensor networks , 2001, IEEE Trans. Syst. Man Cybern. Part C.

[14]  Richard Tynan,et al.  Agents for wireless sensor network power management , 2005, 2005 International Conference on Parallel Processing Workshops (ICPPW'05).

[15]  David E. Culler,et al.  Reliable transfer on wireless sensor networks , 2004, 2004 First Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks, 2004. IEEE SECON 2004..

[16]  Victor C. M. Leung,et al.  Mobile Agent Based Wireless Sensor Networks , 2006, J. Comput..

[17]  Susan L. Rose-Pehrsson,et al.  Data fusion with a multisensor system for damage control and situational awareness , 2007, 2007 IEEE Conference on Advanced Video and Signal Based Surveillance.

[18]  Hossam S. Hassanein,et al.  On The Reliability of Wireless Sensor Networks , 2006, 2006 IEEE International Conference on Communications.