Abstract
In wireless sensor networks (WSNs), mobile agent (MA) can effectively gather and aggregate the sensed data so as to minimize the network energy consumption. In some realistic applications, the aggregation cost cannot be neglected and MA may get heavier from the data it accumulated as it migrates through the touring, which easily leads to the high communication and aggregation cost in some nodes. In this paper, we first propose a data-gathering algorithm which is optimized by discrete particle swarm optimization (DPSO) based on MA. In the itinerary of the MA, we introduce adaptive data aggregation scheme and data separation scheme to reduce the energy expenditure. In addition, we further study how to adaptively adjust route structure by considering the remaining energy of the nodes to avoid the nodes’ premature death for extending the network lifetime. Simulation results show that our algorithm has effectively lower energy consumption, higher robust structure, and longer lifetime.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Cheng, Z., Perillo, M., Heinzelman, W.B.: General network lifetime and cost models for evaluating sensor network deployment strategies. IEEE Trans. Mob. Comput. 7, 484–497 (2008)
Qi, H., Iyengar, S.S., Chakrabarty, K.: Multiresolution data integration using mobile agents in distributed sensor networks. IEEE Trans. Syst. Man Cybern. Part C: Appl. Rev. 31, 383–391 (2001)
Xu, Y., Qi, H.: Mobile agent migration modeling and design for target tracking in wireless sensor networks. Ad Hoc Netw. 6, 1–16 (2008)
Chen, M., Leung, V., Mao, S., Kwon, T., Li, M.: Energy-efficient itinerary planning for mobile agents in wireless sensor networks. In: IEEE International Conference on Communications, pp. 1–5 (2009)
Chen, M., Yang, L.T., Kwon, T., Zhou, L., Jo, M.: Itinerary planning for energy-efficient agent communications in wireless sensor networks. IEEE Trans. Veh. Technol. 60, 3290–3299 (2011)
Konstantopoulos, C., Mpitziopoulos, A., Gavalas, D., Pantziou, G.: Effective determination of mobile agent itineraries for data aggregation on sensor networks. IEEE Trans. Knowl. Data Eng. 22, 1679–1693 (2010)
Gupta, G.P., Misra, M., Garg, K.: Energy and trust aware mobile agent migration protocol for data aggregation in wireless sensor networks. J. Netw. Comput. Appl. 41, 300–311 (2014)
Li, Z., Peng, Y., Qiao, D., Zhang, W.: LBA: lifetime balanced data aggregation in low duty cycle sensor networks. In: 2012 Proceedings IEEE, INFOCOM, pp. 1844–1852 (2012)
Guo, W., Xiong, N., Chao, H.C., Hussain, S., Chen, G.: Design and analysis of self-adapted task scheduling strategies in wireless sensor networks. Sensors 11, 6533–6554 (2011)
Guo, W., Xiong, N., Vasilakos, A.V., Chen, G., Yu, C.: Distributed k–connected fault–tolerant topology control algorithms with PSO in future autonomic sensorsystems. Int. J. Distrib. Sens. Netw. 12, 53–62 (2012)
Acknowledgments
This paper is supported by the National Natural Science Foundation of China under Grant No. 61103175; the Key Project of Chinese Ministry of Education under Grant No. 212086, the Fujian Province High School Science Fund for Distinguished Young Scholars under Grand No. JA12016, the Program for New Century Excellent Talents in Fujian Province University under Grant No. JA13021, the Fujian Natural Science Funds for Distinguished Young Scholar under Grant No. 2014J06017, and the Natural Science Foundation of Fujian Province under Grant No. 2014J01231 and No. 2013J0123.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer India
About this paper
Cite this paper
Hong, W., Liu, Z., Chen, Y., Guo, W. (2016). Energy-Efficient Mobile Agent Communications for Maximizing Lifetime of Wireless Sensor Networks. In: Zeng, QA. (eds) Wireless Communications, Networking and Applications. Lecture Notes in Electrical Engineering, vol 348. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2580-5_29
Download citation
DOI: https://doi.org/10.1007/978-81-322-2580-5_29
Published:
Publisher Name: Springer, New Delhi
Print ISBN: 978-81-322-2579-9
Online ISBN: 978-81-322-2580-5
eBook Packages: EngineeringEngineering (R0)