Power-aware agent-solution for information communication in WSN

Springer Science and Business Media LLC - 2010
Ahmad Sardouk1, Rana Rahim-Amoud2, Leïla Merghem-Boulahia1, Dominique Gaïti1
1ICD/ERA, FRE CNRS 2848, Université de Technologies de Troyes, Troyes Cedex, France
2LaSTRe, Université Libanaise, Tripoli, Lebanon

Tóm tắt

The information-communication in an energy efficient and scalable manner in a wireless sensor network is a basic need. In this work, we use the multi-agent approach in order to build an Information Importance Based Communication (IIBC) for large scale wireless sensor network data processing. A multi-agent cooperation can be used to greatly reduce the communication cost, especially over low bandwidth links, by treating data cooperatively in sensor nodes rather than bringing this data to a central processor. The principal goal of our proposition is to maximize the wireless sensor network life time and simultaneously to insure a sufficient level of performance in term of latency, packet loss and reliability. Through successive simulations, IIBC proved its ability to reduce the power consumption of the sensor node to maximize “the mean time to first network partition” in several network densities and scales.

Từ khóa


Tài liệu tham khảo

Chen, M., Kwon, T., Yuan, Y., & Leung, V. C. M. (2006). Mobile agent based wireless sensor networks. Journal of Computers 14–21.

Ruairí, R. M., & Keane, M. T. (2007). An energy-efficient multi-agent sensor network for detecting diffuse events. In IJCAI’07: Proceedings of the 20th international joint conference on artifical intelligence (pp. 1390–1395). San Mateo: Morgan Kaufmann.

Marsh, D., O’Kane, D., & O’Hare, G. M. P. (2005). Agents for wireless sensor network power management. In ICPPW ’05: proceedings of the 2005 international conference on parallel processing workshops (pp. 413–418). Washington: IEEE Computer Society.

Gan, L., Liu, J., & Jin, X. (2004). Agent-based energy efficient routing in sensor networks. In AAMAS ’04: proceedings of the third international joint conference on autonomous agents and multiagent systems (pp. 472–479). Washington: IEEE Computer Society.

Mistry, O., Gürsel, A., & Sen, S. (2009). Comparing trust mechanisms for monitoring aggregator nodes in sensor networks. In AAMAS ’09: proceedings of the 8th international conference on autonomous agents and multiagent systems, Richland, SC (pp. 985–992). International Foundation for Autonomous Agents and Multiagent Systems.

Johnson, D., Hu, Y., & Maltz, D. (2007). The dynamic source routing protocol (DSR) for placeMobile ad hoc networks for IPv4 (Technical report).

Chou, J., Petrovic, D., & Ramchandran, K. (2002). Tracking and exploiting correlations in dense sensor networks. In Conference record of the thirty-sixth asilomar conference on signals, systems and computers (pp. 39–43).

Chou, J., Petrovic, D., & Ramchandran, K. (2003). A distributed and adaptive signal processing approach to reducing energy consumption in sensor networks. In Twenty-second annual, joint conference of the ieee computer and communications societies (pp. 1054–1062).

Swapnil, P., Samir, D., Asis, N. (2004). Serial data fusion using space-filling curves in wireless sensor networks. In First annual IEEE communications society conference on sensor and ad hoc communications and networks (pp. 182–190).

Liao, W. H., Kao, Y., & Fan, C. M. (2008). Data aggregation in wireless sensor networks using ant colony algorithm. Journal of Network and Computer Applications, 31(4), 387–401.

Chen, H., Mineno, H., & Mizuno, T. (2008). Adaptive data aggregation scheme in clustered wireless sensor networks. Computer Communications, 31(15), 3579–3585.

Lang, T., Qing, Z., & Srihari, A. (2003). Sensor networks with mobile agents. In The IEEE military communications conference (pp. 688–693). New York: IEEE Press.

Qi, H., Xu, Y., Wang, X. (2003). Mobile-agent-based collaborative signal and information processing in sensor networks. Proceedings of the IEEE, 91(8), 1172–1183.

González-Valenzuela, S., Chen, M., & Leung, V. C. M. (2009). Design, implementation and case study of wiseman: wireless sensors employing mobile agents. In J. M. Bonnin, C. Giannelli, & T. Magedanz (Eds.), MOBILWARE. Lecture notes of the institute for computer sciences, social informatics and telecommunications engineering (Vol. 7, pp. 366–380). Berlin: Springer.

Chen, M., González-Valenzuela, S., & Leung, V. C. M. (2007). Applications and design issues of mobile agents in wireless sensor networks. IEEE Wireless Communications Magazine, 14(6), 20–26.

Sardouk, A., Rahim-Amoud, R., Merghem-Boulahia, L., & Gaïti, D. (2009). Information-importance based communication for large-scale WSN data processing. In WMNC. Gdansk: IFIP.

Sardouk, A., Merghem-Boulahia, L., & Gaïti, D. (2008). Agents cooperation for power-efficient information processing in wireless sensor networks. In Networking and electronic commerce research conference, Italy.

Sardouk, A., Merghem-Boulahia, L., & Gaïti, D. (2008). Agent-cooperation based communication architecture for wireless sensor network. In IFIP wireless days/ad-hoc and wireless sensor networks. UAE: IFIP.

Brooks, R. (1985). A robust layered control system for a mobile robot. IEEE Journal of Robotics and Automation, 2(1), 14–23.

Rahim-Amoud, R., Merghem-Boulahia, L., & Gaïti, D. (2008). An Autonomic MPLS DiffServ-TE Domain. Whitestein Series in Software Agent Technologies and Autonomic Computing, 9, 149–168.

Laboratory, U., & Laboratory, W. (2005). Glomosim: a scalable simulation environment for wireless and wired network systems. In The 3rd International Working Conference on Performance Modeling and Evaluation of Heterogeneous Networks.

Sohraby, K., Minoli, D., & Znati, T. (2007). Wireless sensor networks, technology, protocols, and applications. New York: Willey.

Sun (2008). Sun TM small programmable object technology (Sun SPOT) theory of operation (Technical report). Sun Microsystem, Sun Labs.

Thông tin
Thông tin xuất bản

Springer Science and Business Media LLC

Thông tin tác giả