Abstract
Autonomous Wireless sensor networks(WSNs) have sensors that are usually deployed randomly to monitor one or more phenomena. They are attractive for information discovery in large-scale data rich environments and can add value to mission–critical applications such as battlefield surveillance and emergency response systems. However, in order to fully exploit these networks for such applications, energy-efficient, load balanced and scalable solutions for information discovery are essential. Multi-dimensional autonomous WSNs are deployed in complex environments to sense and collect data relating to multiple attributes (multi-dimensional data). Such networks present unique challenges to data dissemination, data storage of in-network information discovery. In this paper, we propose a novel method for information discovery for multi-dimensional autonomous WSNs which sensors are deployed randomly that can significantly increase network lifetime and minimize query processing latency, resulting in quality of service (QoS) improvements that are of immense benefit to mission–critical applications. We present simulation results to show that the proposed approach to information discovery offers significant improvements on query resolution latency compared with current approaches.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Lamont, L., Mathieu, D., Patterson, G.: Tiered wireless sensor network architecture for military surveillance applications. In: The Fifth International Conference on Sensor Technologies and Applications, SENSORCOMM 2011, France, pp. 288–294 (2011)
Pannetier, B., Dezert, J., Sella, G.: Multiple target tracking with wireless sensor network for ground battlefield surveillance. In: 17th International Conference on Information Fusion (FUSION), pp. 1–8, July 2014
Mittal, P., Mitthal, A.: Target tracking in wireless sensor networks. Int. J. Comput. Sci. Manage. Stud. 14(06), 98–104 (2014)
Sitanayah, L., Sreenan, C.J., Brown, K.N.: A hybrid MAC protocol for emergency response wireless sensor networks. Ad Hoc Netw. 20, 77–95 (2014)
Yuan, W., Guan, D., Huh, E.-N., Lee, S.: Harness human sensor networks for situational awareness in disaster reliefs: a survey. IETE Tech. Rev. 30(3), 240–247 (2013)
Doss, R., Li, G., Mak, V., Tissera, M.: Information discovery in mission-critical wireless sensor networks. Comput. Netw. 54(14), 2383–2399 (2010)
Liu, C., Lee, C., Wang, L.: Distributed clustering algorithms for data-gathering in wireless mobile sensor networks. J. Parallel Distrib. Comput. 67(11), 1187–1200 (2007)
Sarkar, R., Zhu, X., Gao, J.: Double rulings for information brokerage in sensor networks. In: Proceedings of the 12th Annual International Conference on Mobile Computing and Networking - MobiCom 2006, p. 286 (2006)
Park, Y., Seo, D., Yun, J., Ryu, C.T., Kim, J., Yoo, J.: An efficient data-centric storage method using time parameter for sensor networks. Inf. Sci. 180(24), 4806–4817 (2010)
Liu, Y., Liu, K., Tao, W., Xu, Y.: A distributed index based multi-resolution data storage architecture in wireless sensor networks. In: First International Conference on Intelligent Networks and Intelligent Systems, pp. 174–177, November 2008
Palazzo, S., Cuomo, F., Galluccio, L.: Data aggregation in wireless sensor networks: a multifaceted perspective. In: Ferrari, G. (ed.) Sensor Networks. Signals and Communication Technology, pp. 103–143. Springer, Heidelberg (2009)
Andreou, P., Zeinalipour-Yazti, D., Pamboris, A.: Optimized query routing trees for wireless sensor networks. Inf. Syst. 36(2), 267–291 (2011)
Akkaya, K., Younis, M.: A survey on routing protocols for wireless sensor networks. Ad Hoc Netw. 3(3), 325–349 (2005)
Aly, M., Pruhs, K., Chrysanthis, P.K.: KDDCS : a load-balanced in-network data-centric storage scheme for sensor networks. In: CIKM 2006, Proceedings of the 15th ACM International Conference on Information and Knowledge Management, pp. 317–326. ACM (2006)
Seok, K.K., Saxena, N.: Analysis of a novel advanced greedy perimeter stateless routing algorithm. In: 2013 International Conference on ICT Convergence (ICTC), pp. 831–834, October 2013
Sanandaji, A., Jabbehdari, S., Balador, A., Kanellopoulos, D.: Mac layer misbehavior in manets. IETE Tech. Rev. 30(4), 324–335 (2013)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Tissera, M., Doss, R., Li, G., Batten, L.M. (2015). Novel Approach for Information Discovery in Autonomous Wireless Sensor Networks. In: Doss, R., Piramuthu, S., ZHOU, W. (eds) Future Network Systems and Security. FNSS 2015. Communications in Computer and Information Science, vol 523. Springer, Cham. https://doi.org/10.1007/978-3-319-19210-9_4
Download citation
DOI: https://doi.org/10.1007/978-3-319-19210-9_4
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-19209-3
Online ISBN: 978-3-319-19210-9
eBook Packages: Computer ScienceComputer Science (R0)