Abstract
Mobile wireless sensor networks (MWSNs), a special class of WSN in which one or more component of the network is mobile, have recently grown popularity. In MWSNs, mobility plays a key role in the operation of the sensor network. As a result mobility has become an important area of research for the WSN community in recent years. Several protocols and models have been proposed in the literature which target one or other aspects of MWSNs in order to improve the process of data collection and dissemination, the ultimate goal of any sensor network. In order to develop novel and efficient techniques and protocols for mobile sensor networks we first need to have a clear understanding of the current state of the art solutions in this area. Therefore, in this chapter we present a survey on the recent advances of state of the art techniques in data collection in MWSNs.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Chakrabarti, A., Sabharwal, A., Aazhang, B.: Using predictable observer mobility for power efficient design of sensor networks. In: Proceedings of the 2Nd International Conference on Information Processing in Sensor Networks, IPSN’03, pp. 129–145, Springer, Berlin, Heidelberg (2003)
Anastasi, G., Conti, M., Di Francesco, M.: Reliable and energy-efficient data collection in sparse sensor networks with mobile elements. Perform. Eval. 66(12), 791–810 (2009)
Liu, B., Brass, P., Dousse, O., Nain, P., Towsley D.: Mobility improves coverage of sensor networks. In: Proceedings of the 6th ACM International Symposium on Mobile Ad Hoc Networking and Computing, MobiHoc ’05, pp. 300–308, ACM, New York, NY, USA (2005)
Chatzigiannakis, L., Kinalis, A., Nikoletseas, S.: Sink mobility protocols for data collection in wireless sensor networks. In: Proceedings of the 4th ACM International Workshop on Mobility Management and Wireless Access, MobiWac ’06, pp. 52–59, ACM, New York, NY, USA (2006)
Shah, R.C., Roy, S., Jain, S., Brunette, W.: Data mules: modeling a three-tier architecture for sparse sensor networks. In: Proceedings of the First IEEE International Workshop on Sensor Network Protocols and Applications, pp. 30–41, May 2003
Wang, G., Cao, G., La Porta, T., Zhang, W.: Sensor relocation in mobile sensor networks. In: Proceeding of 24th Annual Joint Conference of the IEEE Computer and Communications Societies (INFOCOM 2005), vol. 4, pp. 2302–2312, March 2005
Yan, H., Huo, H., Xu, Y., Gidlund, M.: Wireless sensor network based e-health system— implementation and experimental results. IEEE Trans. Consum. Electron. 56(4), 2288–2295 (2010)
Ehsan, S., Bradford, K., Brugger, M., Hamdaoui, B., Kovchegov, Y., Johnson, D., Louhaichi, M.: Design and analysis of delay-tolerant sensor networks for monitoring and tracking free-roaming animals. IEEE Trans. Wireless Commun. 11(3), 1220–1227 (2012)
Dyo, V., Ellwood, S.A., Macdonald, D.W., Markham, A., Trigoni, N., Wohlers, R., Mascolo, C., Pásztor, B., Scellato, S., Yousef, K,: Wildsensing: design and deployment of a sustainable sensor network for wildlife monitoring. ACM Trans. Sen. Netw. 8(4), 29:1–29:33 (2012)
White, B.A., Tsourdos, A., Ashokaraj, I., Subchan, S., Zbikowski, R.: Contaminant cloud boundary monitoring using network of uav sensors. IEEE Sens. J. 8(10), 1681–1692 (2008)
Amundson, I., Koutsoukos, X.D.: A survey on localization for mobile wireless sensor networks. In: Proceedings of the 2nd International Conference on Mobile Entity Localization and Tracking in GPS-less Environments, MELT’09, pp. 235–254, Springer, Berlin, Heidelberg (2009)
Lambrou, T.P., Panayiotou, C.G.: A survey on routing techniques supporting mobility in sensor networks. In: 5th International Conference on Mobile Ad-hoc and Sensor Networks, 2009. MSN ’09, Dec 2009, pp. 78–85
Sara, G.S., Sridharan, D.: Routing in mobile wireless sensor network: a survey. Telecommun. Syst. 1–29 (2013)
Di Francesco, M., Das, S.K., Anastasi, G.: Data collection in wireless sensor networks with mobile elements: a survey. ACM Trans. Sen. Netw., 8(1), 7:1–7:31 (2011)
Munir, S.A., Ren, B., Jiao, W., Wang, B., Xie D., Ma, J.: Mobile wireless sensor network: Architecture and enabling technologies for ubiquitous computing. In: 21st International Conference on Advanced Information Networking and Applications Workshops, 2007, AINAW ’07, vol. 2, pp. 113–120, May 2007
Amundson, I., Koutsoukos, X., Sallai, J.: Mobile sensor localization and navigation using rf doppler shifts. In: Proceedings of the First ACM International Workshop on Mobile Entity Localization and Tracking in GPS-less Environments, MELT ’08, pp. 97–102, ACM, New York, NY, USA (2008)
Fang, L., Antsaklis, P.J., Montestruque, L.A., McMickell, M.B., Lemmon, M., Sun, Y., Fang, H., Koutroulis, I., Haenggi, M., Xie, M., Xie, X.: Design of a wireless assisted pedestrian dead reckoning system—the navmote experience. IEEE Trans. Instrum. Measur. 54(6), 2342–2358 (2005)
Gandham, S.R., Dawande, M., Prakash, R., Venkatesan, S.: Energy efficient schemes for wireless sensor networks with multiple mobile base stations. In: Global Telecommunications Conference, 2003. GLOBECOM ’03. IEEE, vol. 1, pp. 377–381, Dec 2003
Lambrou, T.P., Panayiotou, C.G.: Collaborative event detection using mobile and stationary nodes in sensor networks. In: International Conference on Collaborative Computing: Networking, Applications and Worksharing, 2007. CollaborateCom 2007, pp. 106–115, Nov 2007
Verma, A., Sawant, H., Tan, J.: Selection and navigation of mobile sensor nodes using a sensor network. Pervasive Mob. Comput. 2(1), 65–84 (2006)
Aman K., Arun A.S., David D.J., Mani B.S., Deborah E.: Intelligent fluid infrastructure for embedded networks. In: Proceedings of the 2Nd International Conference on Mobile Systems, Applications, and Services, MobiSys ’04, pp. 111–124, ACM, New York, NY, USA (2004)
Arun, A.S., Aditya, R., Mani, B.S.: Mobile element scheduling for efficient data collection in wireless sensor networks with dynamic deadlines. In: Proceedings of the 25th IEEE International Real-Time Systems Symposium, RTSS ’04, pp. 296–305, IEEE Computer Society, Washington, DC, USA (2004)
Choi, L., Jung, J.K., Cho, B.-H., Choi, H.: M-geocast: Robust and energy-efficient geometric routing for mobile sensor networks. In: Proceedings of the 6th IFIP WG 10.2 International Workshop on Software Technologies for Embedded and Ubiquitous Systems, SEUS ’08, pp. 304–316, Springer, Berlin, Heidelberg (2008)
Yunxia, C., Qing, Z.: On the lifetime of wireless sensor networks. IEEE Commun. Lett. 9(11), 976–978 (2005)
Srinidhi, T., Sridhar, G., Sridhar, V.: Topology management in ad hoc mobile wireless networks. In: Proceedings of Real-Time Systems Symposium, Work-in-Progress Session (2003)
Nicholson, A.J., Noble, B.D.: Breadcrumbs: forecasting mobile connectivity. In: Proceedings of the 14th ACM International Conference on Mobile Computing and Networking, MobiCom ’08, pp. 46–57, ACM, New York, NY, USA (2008)
Farkas, K., Hossmann, T., Legendre, F., Plattner, B., Das, S.K.: Link quality prediction in mesh networks. Comput. Commun. 31(8), 1497–1512 (2008)
de Arajo Kaiser, G.M., Becker, L.B.: An evolutionary approach to improve connectivity prediction in mobile wireless sensor networks. Procedia Comput. Sci. 10(0), 1100–1105 (2012) (ANT 2012 and MobiWIS 2012)
Mahboubi, H., Habibi, J., Aghdam, A.G., Sayrafian-Pour, K.: Cooperative self-deployment strategies in a mobile sensor network with non-uniform coverage priority. In: Global Telecommunications Conference (GLOBECOM 2011), 2011 IEEE, pp. 1–6, Dec 2011
Zhang, H., Liu, C.: A review on node deployment of wireless sensor network. IJCSI Int. J. Comput. Sci. Issues 9(6) (2012)
Guo, X.M., Zhao, C.J., Yang, X.T. Sun, C., Li, M., Li, W., Zhou, C.: A deterministic sensor node deployment method with target coverage based on grid scan. Chin. J. Sens. Actuators 25(1), 104–109 (2012)
Zhang, Y.-Z., Wu, C.-D., Long, C., Peng, J.: Research of node deployment strategy for wireless sensor network in deterministic space. Control Decis. 25(11), 1625–1629 (2010)
Li, M., Ding, D., Guo, T.: Random deployment strategy of wireless sensor network node. Comput. Eng. 5, 031 (2012)
Cheng, T.M., Savkin, A.V.: A distributed self-deployment algorithm for the coverage of mobile wireless sensor networks. IEEE Commun. Lett. 13(11), 877–879 (2009)
Wang, G., Cao, G., Berman, P., La Porta, T.F.: Bidding protocols for deploying mobile sensors. IEEE Trans. Mob. Comput. 6(5), 563–576 (2007)
Ko, J.M., Ni, Y.Q., Zhou, H.F., Wang, J.Y., Zhou, X.T.: Investigation concerning structural health monitoring of an instrumented cable-stayed bridge. Struct. Infrastruct. Eng. 5(6), 497–513 (2009)
Han, X., Cao, X., Lloyd, E.L., Shen, C.-C.: Fault-tolerant relay node placement in heterogeneous wireless sensor networks. IEEE Trans. Mob. Comput. 9(5), 643–656 (2010)
Wang, F., Liu, J.: Networked wireless sensor data collection: issues, challenges, and approaches. IEEE Commun. Surv. Tutorials 13(4), 673–687 (2011)
Patwari, N., Ash, J.N., Kyperountas, S., Hero, A.O., Moses, R.L., Correal, N.S.: Locating the nodes: cooperative localization in wireless sensor networks. IEEE Signal Process. Mag. 22(4), 54–69 (2005)
Bachrach, J., Taylor, C.: Localization in Sensor Networks, pp. 277–310. Wiley, New York (2005)
Guerrero, E., Alvarez, J., Rivero, L.: 3d-adal: A three-dimensional distributed range-free localization algorithm for wireless sensor networks based on unmanned aerial vehicles. In: 2010 Fifth International Conference on Digital Information Management (ICDIM), pp. 332–338, July 2010
Arias, J., Zuloaga, A., Lzaro, J., Andreu, J., Astarloa, A.: Malguki: an RSSI based ad hoc location algorithm. Microprocess. Microsyst. 28(8), 403–409 (2004) (Resource Management in Wireless and Adhoc mobile networks)
Venkatraman, S., Caffery, J., You, H.-R.: A novel toa location algorithm using los range estimation for nlos environments. IEEE Trans. Veh. Technol. 53(5), 1515–1524 (2004)
Niculescu, D., Nath, B.: Ad hoc positioning system (aps). In: Global Telecommunications Conference, 2001. GLOBECOM ’01. IEEE, vol. 5, pp. 2926–2931 (2001)
Corke, P., Peterson, R., Rus, D.: Coordinating aerial robots and sensor networks for localization and navigation. In: Alami, R., Chatila, R., Asama, H. (eds.) Distributed Autonomous Robotic Systems, vol. 6, pp. 295–304. Springer, Japan (2007)
Chen, H., Shi, Q., Tan, R., Poor, H.V., Sezaki, K.: Mobile element assisted cooperative localization for wireless sensor networks with obstacles. IEEE Trans. Wireless Commun. 9(3), 956–963 (2010)
He, T., Huang, C., Blum, B.M., Stankovic, J.A., Abdelzaher, T.: Range-free localization schemes for large scale sensor networks. In: Proceedings of the 9th Annual International Conference on Mobile Computing and Networking, MobiCom ’03, pp. 81–95, ACM, New York, NY, USA (2003)
Schurgers, C., Tsiatsis, V., Srivastava, M.B.: Stem: Topology management for energy efficient sensor networks. In: Aerospace Conference Proceedings, 2002. IEEE, vol. 3, pp. 3-1099–3-1108 (2002)
Zhao, W., Ammar, M., Zegura, E.: A message ferrying approach for data delivery in sparse mobile ad hoc networks. In: Proceedings of the 5th ACM International Symposium on Mobile Ad Hoc Networking and Computing, MobiHoc ’04, pp. 187–198, ACM, New York, NY, USA (2004)
Ansari, J., Pankin, D., Mhnen, P.: Radio-triggered wake-ups with addressing capabilities for extremely low power sensor network applications. Int. J. Wireless Inf. Netw. 16(3), 118–130 (2009)
Gao, S., Zhang, H., Das, S.K.: Efficient data collection in wireless sensor networks with path-constrained mobile sinks. IEEE Trans. Mob. Comput. 10(4), 592–608 (2011)
Jun, H., Ammar, M.H., Zegura, E.W.: Power management in delay tolerant networks: a framework and knowledge-based mechanisms. In: Second Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks, 2005. IEEE SECON 2005. pp. 418–429, Sept 2005
Dantu, K., Sukhatme, G.: Connectivity vs. control: using directional and positional cues to stabilize routing in robot networks. In: Second International Conference on Robot Communication and Coordination, 2009. ROBOCOMM ’09, pp. 1–6, March 2009
Duan, F.F., Guo, F., Deng, M.-X., Yu, M.: Shortest path routing protocol for multi-layer mobile wireless sensor networks. In: International Conference on Networks Security, Wireless Communications and Trusted Computing, 2009. NSWCTC ’09, vol. 2, pp. 106–110, April 2009
Haerri, J., Bonnet, C.: On the classification of routing protocols in mobile ad-hoc networks. Technical Report EURECOM+1492, Eurecom, 08 (2004)
Ramanathan, R., Rosales-Hain, R.: Topology control of multihop wireless networks using transmit power adjustment. In: Proceedings of Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (INFOCOM 2000), vol. 2, pp. 404–413 (2000)
Kusy, B., Lee, H.J.,Wicke, M., Milosavljevic, N., Guibas, L.: Predictive qos routing to mobile sinks in wireless sensor networks. In: Proceedings of the 2009 International Conference on Information Processing in Sensor Networks, IPSN ’09, pp. 109–120, Washington, DC, USA (2009) (IEEE Computer Society)
Kweon, K., Ghim, H., Hong, J., Yoon, H.: Grid-based energy-efficient routing from multiple sources to multiple mobile sinks in wireless sensor networks. In: 4th International Symposium on Wireless Pervasive Computing, 2009. ISWPC 2009, pp. 1–5, Feb 2009
Perkins, C.E.: Ad Hoc Networking, 1st edn. Addison-Wesley Professional (2008)
Sharif, K., Dahlberg, T.A., Cao, L.: Anycast based lightweight routing protocol for mobile sink discovery in sensor networks. In: Consumer Communications and Networking Conference (CCNC), 2010 7th IEEE, pp. 1–2, Jan 2010
Zou, L., Mi, L., Xiong, Z.: Pager-m: a novel location-based routing protocol for mobile sensor networks. In: Proceeding of Broadwise (2004)
Khan, M.I., Gansterer, W., Haring, G.: Congestion avoidance and energy efficient routing protocol for wireless sensor networks with a mobile sink. J. Netw. 2(6), 42–49 (2007)
Somasundara, A.A., Kansal, A., Jea, D.D., Estrin, D., Srivastava, M.B.: Controllably mobile infrastructure for low energy embedded networks. IEEE Trans. Mob. Comput. 5(8), 958–973 (2006)
Luo, J., Hubaux, J.-P.: Joint mobility and routing for lifetime elongation in wireless sensor networks. In: Proceedings of 24th Annual Joint Conference of the IEEE Computer and Communications Societies (INFOCOM 2005), vol. 3, pp. 1735–1746, March 2005
Tseng, Y.-C., Wang, Y.-C., Cheng, K.-Y., Hsieh, Y.-Y.: imouse: an integrated mobile surveillance and wireless sensor system. Computer 40(6), 60–66 (2007)
Cobano, J.A., Martnez-de Dios, J.R., Conde, R., Snchez-Matamoros, J.M., Ollero, A.: Data retrieving from heterogeneous wireless sensor network nodes usinguavs. J. Int. Rob. Syst. 60(1), 133–151 (2010)
Sujit, P.B., Lucani, D.E., Sousa, J.B.: Joint route planning for uav and sensor network for data retrieval. In: 2013 IEEE International Systems Conference (SysCon), pp. 688–692, April 2013
Michel, B., Marron, P.J., Ollero, A., Wolisz, A.: Cooperating embedded systems and wireless sensor networks, Wiley Online Library (2008)
Martinez-De Dios, J.R., Lferd, K., De San Bernabé, A., Núñez, G., Torres-González, A., Ollero, A.: Cooperation between uas and wireless sensor networks for efficient data collection in large environments. J. Intell. Robotics Syst. 70(1–4), 491–508 (2013)
Lee, W.-H., Hur, K., Eom, D.-S.: Navigation of mobile node in wireless sensor networks without localization. In: IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2008. MFI 2008, pp. 1–7, Aug 2008
Wei, P., Gu, Q., Sun, D.: Wireless sensor network data collection by connected cooperative uavs. In: American Control Conference (ACC), 2013, pp. 5911–5916, June 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 chapter
Cite this chapter
Sayyed, A., Becker, L.B. (2015). A Survey on Data Collection in Mobile Wireless Sensor Networks (MWSNs). In: Koubâa, A., Martínez-de Dios, J. (eds) Cooperative Robots and Sensor Networks 2015. Studies in Computational Intelligence, vol 604. Springer, Cham. https://doi.org/10.1007/978-3-319-18299-5_12
Download citation
DOI: https://doi.org/10.1007/978-3-319-18299-5_12
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-18298-8
Online ISBN: 978-3-319-18299-5
eBook Packages: EngineeringEngineering (R0)