Weitere Artikel dieser Ausgabe durch Wischen aufrufen
The Mobile Wireless Sensor Network (MWSN) is an emerging technology with significant applications. The MWSN allows the sensor nodes to move freely and they are able to communicate with each other without the need for a fixed infrastructure. These networks are capable of out-performing static wireless sensor networks as they tend to increase the network lifetime, reduce the power consumption, provide more channel capacity and perform better targeting. Usually routing process in a mobile network is very complex and it becomes even more complicated in MWSN as the sensor nodes are low power, cost effective mobile devices with minimum resources. Recent research works have led to the design of many efficient routing protocols for MWSN but still there are many unresolved problems like retaining the network connectivity, reducing the energy cost, maintaining adequate sensing coverage etc. This paper addresses the various issues in routing and presents the state of the art routing protocols in MWSN. The routing protocols are categorized based on their network structure, state of information, energy efficiency and mobility. The classification presented here summarizes the main features of many published proposals in the literature for efficient routing in MWSN and also gives an insight into the enhancements that can be done to improve the existing routing protocols.
Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten
Sie möchten Zugang zu diesem Inhalt erhalten? Dann informieren Sie sich jetzt über unsere Produkte:
Kansal, A., Rahimi, M., Estrin, D., Kaiser, W. J., Pottie, G. J., & Srivastava, M. B. (2004). Controlled mobility for sustainable wireless sensor networks. In Proceedings of sensor and ad hoc communications and networks (SECON).
Munari, A., Schott, W., & Krishnan, S. (2009). Energy efficient routing in mobile wireless sensor networks using mobility prediction. In Proceedings of 34th IEEE conference in local computer networks, Zurich, Switzerland (pp. 514–521).
Bari, A., Wazed, S., Jaekel, A., & Bandyopadhyay, S. (2009). A genetic algorithm based approach for energy efficient routing in two-tiered sensor networks. Ad Hoc Networks, 7(4), 665–676. CrossRef
Yahya, B., & Ben-Othman, J. (2009). An adaptive mobility aware and energy efficient MAC protocol for wireless sensor networks. In Proceedings of 4th IEEE symposium on computers and communications (ISCC 2009), Sousse, Tunisia, July 5–8 (pp. 5–21).
Karp, B., & Kung, H. T. (2000). GPSR: greedy perimeter stateless routing for wireless networks. In Proceedings of ACM international conference on mobile computing and networking (MOBICOM) (pp. 243–254).
Kusy, B., Lee, H. J., Wicke, M., Milosavljevic, N., & Guibas, L. (2009). Predictive QOS routing to mobile sinks in wireless sensor networks. In Proceedings of ISPN’09, April 13–16, San Francisco, CA, USA.
Chen, C., & Ma, J. (2006). MEMOSEN: multi-radio enabled mobile wireless sensor network. In Proc. of AINA’06.
Chen, C., Ma, J., & Yu, K. (2006). Designing energy efficient wireless sensor networks with mobile sinks. In Proceedings of WSW’06 at SenSys’06, Colorado, USA, 31 October 2006.
Cao, L., Dahlberg, T., & Wang, Y. (2007). Performance evaluation of energy efficient ad hoc routing protocols. In Proceedings of IPCCC. IEEE Press, New York (pp. 306–313).
Perkins, C. E. (2008). AdHoc Networking (pp. 225–226). Singapore: Pearson Education South Asia.
Perkins, C. E., & Bhagwat, P. (1994). Highly dynamic destination sequenced distance vector routing (DSDV) for mobile computers. In Proceedings of ACM SIGCOMM, August 1994 (pp. 234–244).
Chellappan, S., Bai, X., Ma, B., Xuan, D., & Xu, C. (2007). Mobility limited flip-based sensor networks deployment. IEEE Transactions on Parallel and Distributed Systems, 18(2), 199–211. CrossRef
Camara, D., & Loureiro, A. A. F. (2000). A GPS/ant like routing algorithm for ad hoc networks. In Proceedings of IEEE wireless communication network conference (pp. 1232–1236).
Puccinelli, D., Brennan, M., & Haenggi, M. (2007). Reactive sink mobility in wireless sensor networks. In Proceedings of MobiOpp’07, San Juan, Puerto Rico, USA, June 11.
Dantu, K., Rahimi, M. H., Shah, H., Babel, S., Dhariwal, A., & Sukhatme, G. S. (2005). Robomote: enabling mobility in sensor networks. In Proceedings of IPSN 2005 (pp. 404–409).
Demirbas, M., Soysal, O., & Tosun, A. S. (2007). DATA SALMON: a greedy mobile basestation protocol for efficient data collection in wireless sensor networks. In Proceedings of IEEE int. conf. on dist. comp. in sensor systems.
Diggavi, S., Grossglauser, M., & Dnc, T. S. E. (2002). Even one-dimensional mobility increases ad hoc wireless capacity. In Proceedings of IEEE int’l. symp. information theory (ISIT), Lausanne, Switzerland, June ‘02.
Dubois-Ferriere, H., Grossglauser, M., & Vetterli, M. (2003). Age matters: efficient route discovery in mobile ad hoc networks using encounter ages. In ACM Mobihoc, June ‘03.
Natalizio, E., & Loscrí, V. (2011). Controlled mobility in mobile sensor networks: advantages, issues and challenges. Telecommunication Systems, doi: 10.1007/s11235-011-9561-x.
Ye, F., Luo, H., Cheng, J., Lu, S. W., & Zhang, L. (2002). A two tier data dissemination model for large scale wireless sensor networks. In Proceedings of ACM international conference on mobile computing and networking (MOBICOM).
Zhao, F., & Guibas, L. (2004). Wireless sensor networks—an information processing approach. Amsterdam: Elsevier.
Ganeriwal, S., Kansal, A., & Srivastava, M. B. (2004). Self-aware actuation for fault repair in sensor networks. In IEEE int’l conf. on robotics and automation (ICRA), April ‘04.
Srivastava, G., Boustead, P., & Chicharo, J. F. (2003). Comparison of topology control algorithms for ad hoc networks. In Proceedings of Australian telecommunications networks and applications conference (ATNAC’03), Melbourne.
Gavidia, D., & Van Steen, M. (2008). A probabilistic replication and storage scheme for large wireless networks of small devices. In Proceedings of 5th IEEE int’l conf. mobile and ad hoc sensor systems (MASS). New York: IEEE Press.
Getsy, S. S., Neelavathi, P. S., & Sridharan, D. (2009). Energy efficient ad hoc on demand multipath distance vector routing protocol. The International Journal of Recent Trends in Engineering, 2(3), 10–12.
Getsy, S. S., Neelavathi, P. S., & Sridharan, D. (2010). Evaluation and comparison of emerging energy efficient routing protocols in MANET. Journal of the National Institute of Information and Communications Technology, 1, 37–46.
Getsy, S. S., Kalaiarasi, S. R., Neelavathi, P., & Sridharan, D. (2010). Energy efficient mobile wireless sensor network routing protocol. In Lecture notes of computer science (pp. 642–650). Berlin: Springer.
Anastasi, G., Conti, M., Di Francesco, M., & Passarella, A. (2009). Energy conservation in wireless sensor networks: a survey. Ad Hoc Networks, 7, 537–568. CrossRef
Gomez, C., Salvatella, P., Alonso, O., & Paradells, J. (2006). Tiny AODV: adapting AODV for IEEE 802.15.4 mesh sensor networks: theoretical discussion and performance evaluation in a real environment. In Proceedings of the international conference WoWMoM.
Grossglauser, M., & Dnc, T. S. E. (2002). Mobility increases the capacity of ad hoc wireless networks. IEEE/ACM Transactions on Networking, 10(4), 477–486. CrossRef
Huo, G., & Wang, X. (2008). An opportunistic routing for mobile wireless sensor networks based on RSSI. In Proceedings of 4th international conference on wireless communications, networking and mobile computing (WiCOM’08), Dalian (pp. 1–4).
Liang, G., & Vaidya, N. (2009). Cooperation helps power saving. In Proceedings of 6th international conference on mobile adhoc and sensor systems (MASS’09), 12–15 October (pp. 439–447). CrossRef
Wang, G., Cao, G., La Porta, T., & Zhang, W. (2005). Sensor relocation in mobile sensor networks. In Proceedings of IEEE conference on computer and communications (INFOCOM) (pp. 2302–2312).
Cao, G., & Singhal, M. (2001). A delay-optimal quorum-based mutual exclusion algorithm for distributed systems. IEEE Transactions on Parallel and Distributed Systems, 12(12), 1256–1268. CrossRef
Heinzelman, W., & Balakrishnan, H. (1999). Adaptive protocols for information dissemination in wireless sensor networks. In Proceedings of 5th ACM/IEEE MOBICOM, Seatle, WA, August 1999 (pp. 304–309).
Heinzelman, W., Chandrakasan, A., & Balakrishnan, H. (2000). Energy-efficient communication protocol for wireless microsensor networks. In Proceedings of the 33rd international conference on system science (HICSS’00), Hawaii, USA, January 2000.
Hatime, H., Namuduri, K., & Watkins, J. M. (2011). OCTOPUS: an on-demand communication topology updating strategy for mobile sensor networks. IEEE Sensors Journal, 11(4), 1004–1012. CrossRef
Hartenstein, H., Kasemann, M., & Vollmer, D. (2002). Location based routing for vehicular ad-hoc networks. In Proceedings of MOBICOM’02, Atlanta, Georgia, USA, September 2002 (pp. 23–28).
Hwang, K., In, J., & Eom, D. (2006). Distributed dynamic shared tree for minimum energy data aggregation of multiple mobile sinks in wireless sensor networks. In Proceedings of EWSN.
IEEE LAN MAN Standards, Part 11 (1999). Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications High Speed Physical l Year in 5 GHz Band. In ANSI/IEEE Std., September (1999).
Demirkol, I., Ersoy, C., & Algoz, F. (2006). MAC protocols for Wireless Sensor Networks: A Survey. IEEE Communications Magazine, 4(4), 115–121. CrossRef
Intanagonwiwat, C., Govindhan, R., & Estrin, D. (2000). Directed diffusion: a scalable and robust communication paradigm for sensor networks. In Proceedings of ACM MOBICOM 2000, Boston, MA (pp. 56–67).
Chatzigiannakis, I., Kinalis, A., & Nikoletseas, S. (2006). Sink mobility protocols for data collection in wireless sensor networks. In Proceedings of MobiWac’06, 2 October ’06, Torremolinos, Malaga, Spain (p. 52).
Iwata, A., Chiang, C. C., Pei, G., Gerla, M., & Chen, T. W. (1999). Scalable routing strategies for ad hoc wireless networks. IEEE Journal on Selected Areas in Communications, 17(8), 1369–1379. CrossRef
Iyengar, S. S., Wu, H.-C., Balakrishnan, N., & Chang, S. Y. (2007). Biologically inspired cooperative routing for wireless mobile sensor networks. IEEE Systems Journal, 1(1), 29–37. CrossRef
Choi, J.-M., Cho, Y.-B., Choi, S.-S., & Lee, S.-H. (2009). A cluster header-based energy–efficient mobile sink supporting routing protocol in wireless sensor networks. In Proceedings of the 6th international conference ECTI-CON2009, 6–9 May (pp. 648–651).
Jain, S., Shah, R. C., Brunette, W., Borriello, G., & Roy, S. (2006). Exploiting mobility for energy efficient data collection in wireless sensor networks. Mobile Networks and Applications, 11(3), 327–339. CrossRef
Al-Karaki, J. N., & Kamal, A. E. (2004). Routing techniques in wireless sensor networks: a survey. In IEEE Wirel. Commun., December 2004 (pp. 6–28).
Al-Karaki, J. N., & Al-Malkawi, I. T. (2008). On energy efficient routing for wireless sensor networks. In Proceedings of international conference on innovations in information technology, December 2008.
Jea, D., Somasundra, A., & Srivastava, M. (2005). Multiple controlled mobile elements (data mules) for data collection in sensor networks. In Proceedings of IEEE int. conf. on dist. comp. in sensor systems.
Haerri, J., & Bonnet, C. (2004). On the classification of routing protocols in mobile ad hoc networks. In EURECOM, research report RR-04-115, August 2004. France: Institute EURECOM, Department of Mobile Communication.
Ji, W.-W., & Liu, Z. (2008). Locating ineffective sensor nodes in wireless sensor networks. IET Communications, 2(3), 432–439. CrossRef
Kim, J. M., & Cho, T. H. (2007). Genetic algorithm based routing method for efficient data transmission in sensor networks. In Lecture notes in computer science (Vol. 4681, pp. 273–282).
Ng, J.-M., & Lu, I.-T. (1999). A peer-to-peer zone-based two level link state routing for mobile ad hoc networks. IEEE Journal on Selected Areas in Communications, 17(8), 1415–1425. CrossRef
Juang, P., Oki, H., Wang, Y., Martonosi, M., Peh, L. S., & Rubenstein, D. (2002). Energy-efficient computing for wildlife tracking: design tradeoffs and early experiences with zebranet. In ACM ASPLOS (pp. 96–107).
Luo, J., & Hubaux, J.-P. (2005). Joint mobility and routing for lifetime elongation in wireless sensor networks. In Proceedings of the 24th annual conference of the IEEE communications societies (INFOCOM’05), FL, USA.
Sharif, K., Dahlberg, T. A., & Cao, L. (2010). Anycast based lightweight routing protocol for mobile sink discovery in sensor networks. In Proceedings of IEEE consumer communications and networking conference (CCNC’2010), Las Vegas, Nevada, USA, 9–12 January.
Akkaya, K., & Younis, M. (2005). A survey on routing protocols for wireless sensor networks. Ad Hoc Networks, 3, 325–349. CrossRef
Kim, K., Yun, J., Yun, J., Lee, B., & Han, K. (2009). A location based routing protocol in mobile sensor networks. In Proceedings of the international conference of advanced communication technology (ICACT’2009), Feb. 15–18, 2009 (pp. 1342–1345).
Kweon, K., Ghim, H., Hong, J., & Yoon, H. (2009). Grid- based energy efficient routing from multiple sources to multiple mobile sinks in wireless sensor networks. In Proceedings of 4th international conference on wireless pervasive computing, Melbourne, Australia (pp. 185–189).
Chen, K.-H., Huang, J.-M., & Hsiao, C.-C. (2009). CHIRON: an energy efficient chain based hierarchical routing protocol in wireless sensor networks. In Proceedings of wireless telecommunications symposium (WTS’09) (pp. 1–5). CrossRef
Almazaydeh, L., Abdelfattah, E., Al-Bzoor, M., & Al-Rahayfeh, A. (2010). Performance evaluation of routing protocols in wireless sensor networks. International Journal of Computer Science and Information Technology, 2(2), 64–73. CrossRef
Nguyen, L. T., Defago, X., Beuran, R., & Shinoda, Y. (2008). Energy efficient routing scheme for mobile wireless sensor networks. In Proceedings of IEEE international symposium on wireless communication systems 2008 (ISWCS ’08) (pp. 568–572). CrossRef
Zou, L., Lu, M., & Xiong, Z. (2004). PAGER-m: a novel location based routing protocol for mobile sensor networks. In Proceedings of first international workshop on broadband wireless services and applications (BroadWISE).
Lee, U., Magistretti, E. O., Zhou, B. O., Gerla, M., Bellavista, P., & Corradi, A. (2006). Efficient data harvesting in mobile sensor platforms. In Proceedings of PerCom workshops (pp. 352–356).
Ben Saad, L, & Toarancheau, B. (2011). Sinks mobility strategy in IPv6 based WSNs for network lifetime improvement. In Proceedings of 4th IFIP international conference on new technologies, mobility and security (NTMS), Paris, France (pp. 7–10).
Li, J., & Mohapatra, P. (2007). Analytical modeling and mitigation techniques for the energy hole problem in sensor networks. Pervasive and Mobile Computing, 3(3), 233–254. CrossRef
Li, L., Sun, L., Ma, J., & Chen, C. (2008). A receiver-based opportunistic forwarding protocol for mobile sensor networks. In Proceedings of the the 28th international conference on distributed computing systems workshops (ICDCSW) (pp. 198–203).
Qabajeh, L. K., Kiah, L. M., & Qabajeh, M. M. (2009). A qualitative comparison of position based routing protocols for ad-hoc networks. International Journal of Computer Science and Network Security, 9(2), 131–140.
Qin, L., & Kunz, T. (2004). Survey on mobile ad hoc network routing protocols and cross-layer design. Technical report SCE-04-14, Systems and Computer Engineering, Carleton University, August 2004.
Arboleda, L. M. C., & Nasser, N. (2006). Cluster based routing protocol for mobile sensor networks. In Third international conference on quality of service in heterogeneous wired/wireless networks, August 7–9, 2006, Waterloo, Canada.
Lin, H., Lu, M., Milosavljevic, N., Gao, J., & Guibas, L. J. (2008). Composable information gradients in wireless sensor networks. In Proceedings of IPSN’08, April 2008 (pp. 121–132).
Liu, B., Brass, P., Dousse, O., Nain, P., & Towsley, D. (2005). Mobility improve coverage of sensor networks. In Proceedings of ACM MobiHoc.
Borsani, L., Gugliemi, S., Redondi, A., & Cesana, M. (2011). Tree based routing protocol for mobile wireless sensor networks. In Proceedings of 2011 eighth international conference on wireless on-demand network systems and services (pp. 164–170). CrossRef
Choi, L., Jung, J. K., Cho, B.-H., & Choi, H. (2008). M-Geocast: robust and energy efficient geometric routing for mobile sensor networks. In LNCS: Vol. 5287. Proceedings of IFIP international federation for information processing (SEUS’2008) (pp. 304–316).
Mahesh, K. M., & Samir, D. A. S. (2001). On-demand multipath distance vector routing in ad hoc networks. In Proceedings of international conference for network protocols.
Khan, M. I., Gangsterer, W. N., & Haring, G. (2007). Congestion avoidance and energy efficient routing protocol for wireless sensor networks with mobile sink. Journal of Networks, 2(6), 42–49. CrossRef
Nabi, M., Blagojevic, M., Geilen, M., Basten, T., & Hendriks, T. (2010). MCMAC: an optimized medium access control protocol for mobile clusters in wireless sensor networks. In Proceedings of Secon’2010 (pp. 28–36).
Weiser, M. (1991). In The computer for the twenty-first century. Scie. Am., September 1991.
Marta, M., & Cardei, M. (2009). Improved sensor network lifetime with multiple mobile sinks. Pervasive and Mobile Computing, 5(5), 542–555. CrossRef
Mauve, M., Widmer, J., & Hartenstein, H. (2001). A survey on position-based routing in mobile ad hoc networks. Journal of IEEE Network, 01, 30–39. CrossRef
Roth, M., & Wicker, S. (2003). Termite: ad-hoc networking with stigmergy. In Proceedings of GLOBECOM’2003 (pp. 2937–2941).
McDonald, A. B., & Znati, T. F. (1999). A mobility-based framework for adaptive clustering in wireless ad hoc networks. IEEE Journal on Selected Areas in Communications, 17(8), 1466–1487. CrossRef
Gunes, M., Sorges, U., & Bouazizi, I. (2002). ARA—the ant colony based routing algorithm for MANETs. In Proceedings of international workshop on ad hoc networking (IWAHN’2002), Vancouver, British Columbia, Canada, 18–21 August (Vol. 02, pp. 1–7).
Yu, M., Malvankar, A., Su, W., & Foo, S. Y. (2007). A link availability-based QOS aware routing protocol for mobile adhoc sensor networks. Journal of computer Communications, 30, 3823–3831. CrossRef
Rahimi, M., Shah, H., Sukhatme, G. S., Heideman, J., & Estrin, D. (2003). Studying the feasibility of energy harvesting in a mobile sensor network. In Proc. of the 2003 IEEE international conference on robotics and automation, Taipei, Taiwan.
Tarique, M., Tepe, K. E., & Naserian, M. (2005). Energy saving dynamic source routing for ad hoc wireless networks. In Proceedings of modeling and optimization in mobile, ad hoc, and wireless networks, April 2005 (pp. 305–310).
Soyturk, M., & Altilar, T. (2006). A novel stateless energy efficient routing algorithm for large scale wireless sensor networks with multiple sinks. In Proceedings of IEEE annual, wireless and microwave technology conference (pp. 1–5).
Ababneh, N., & Selvadurai, S. (2006). Topology control algorithms for wireless sensor networks: an overview. International Journal on Wireless & Optical Communications, 3(1), 49–68. CrossRef
Beijar, N. (2004). Zone Routing Protocol (ZRP). Networking Laboratory, Helsinki University of Technology, Finland, Nicklas.Beijar@hut.fi.
Black, N., & Moore, S. (1994). Guass seidal iterative method. http://mathworld.wolfram.com/Gauss-SeidelMethod.html.
Olariu, S., & Stojmenovic, I. (2006). Design guidelines for maximizing lifetime and avoiding energy holes in sensor networks with uniform distribution and uniform reporting. In Proceedings of IEEE INFOCOM.
Perkins, C. E., & Royer, E. M. (1999). Adhoc on demand distance vector routing. In Mobile computing systems and applications. proceedings of WMCSA’99, February 1999 (pp. 90–100).
Kuosmanen, P. (2003). Classification of ad hoc routing protocols. http://eia.udg.es/~lilianac/docs/classification-of-ad-hoc.pdf, Naval Academy, Finland.
Jiang, Q., & Manivannan, D. (2004). Routing protocols for sensor networks. In Proceedings of the IEEE consumer communications and networking conference (CCNC’2004), 5–8 January 2004, Las Vegas, Nevada, USA.
Rahimi, M., Shah, H., Sukhatme, G. S., Heidemann, J., & Estrin, D. (2003). Studying the feasibility of energy harvesting in a mobile sensor network. In Proceedings of IEEE int’l conf. on robotics and automation.
Ramanathan, R., & Rosales-Hain, R. (2000). 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) (pp. 404–413).
Subrata, R., & Zomaya, A. Y. (2003). Evolving cellular automata for location management in mobile computing networks. IEEE Transactions on Parallel and Distributed Systems, 14(1), 13–26. CrossRef
Floyd, R. W. (1962). Algorithm 97—shortest path. Communications of the ACM, 5(6), 345. CrossRef
Kuntz, R., Montavont, J., & Noël, T. (2011). Improving the medium access in highly mobile wireless sensor networks. Telecommunication Systems. doi: 10.1007/s11235-011-9565-6.
Munir, S. A., Biaoren, W. J., Wang, B., Xie, D., & Ma, J. (2007). Mobile wireless sensor network: architecture and enabling technologies for ubiquitous computing. In Proceedings of the 21st international conference on advanced information networking and applications workshop (AINAW‘07).
Choi, S.-Y., Kim, J.-S., Lee, J.-H., & Rim, K.-W. (2010). REDM: robust and energy efficient dynamic routing for a mobile sink in a multi hop sensor network. In Second international conference on communication software and networks (pp. 178–182).
Shah, R. C., Roy, S., Jain, S., & Brunette, W. (2003). Data MULEs: modeling and analysis of a three-tier architecture for sparse sensor networks. In Ad hoc networks journal, September 2003 (Vol. 1, pp. 215–233). Amsterdam: Elsevier.
Shah, R. C., Roy, S., Jain, S., & Brunette, W. (2003). DATAMULES: modelling a three tiered architecture for sparse sensor networks. In Proceedings of first IEEE int’l workshop on sensor network protocols and applications.
Sivagami, A., Pavai, K., Sridharan, D., & Satya, M. S. A. V. (2008). Design issues on tree based aggregation algorithms in wireless sensor networks. International Journal of IT and Knowledge Management, 1(2), 449–462.
Son, D., & Helmy, A. (2004). The effect of mobility-induced location errors on geographic routing in mobile ad hoc and sensor networks: analysis and improvement using mobility prediction. IEEE Transactions on Mobile Computing, 3(3), 233–245. CrossRef
Basagni, S., Carosi, A., Melachrinoudis, E., Petrioli, C., & Wang, Z. M. (2008). Controlled sink mobility for prolonging wireless sensor networks lifetime. Journal of Wireless Networks, 831–858.
Lindsey, S., & Raghavendra, C. S. P. (2002). Power efficient gathering in sensor information systems. In Proceedings of IEEE aerospace conference (Vol. 3, pp. 1125–1130).
Stojmenovic, I., & Lin, X. (2001). Loop free hybrid single path/flooding routing algorithms with guaranteed delivery for wireless networks. IEEE Transactions on Parallel and Distributed Systems, 12(10), 1023–1032. CrossRef
Chang, T.-J., Wang, K., & Hsieh, Y.-L. (2008). A color theory based energy efficient routing algorithm for mobile wireless sensor networks. International Journal of Computer Networks and Communications, 52, 531–541. CrossRef
Venkitasubramaniam, P., Adireddy, S., & Tong, L. (2004). Sensor networks with mobile access: optimal random access and coding. IEEE Journal on Selected Areas in Communications, 22(6), 1058–1068. CrossRef
Wang, W., Srinivasan, V., & Chua, K. (2005). Using mobile relays to prolong the lifetime of wireless sensor networks. In Proceedings of MobiCom.
Wang, W. D., & Zhu, Q. X. (2008). RSS-Based Monte-Carlo localization for mobile sensor networks. IET Communications, 2(5), 673–681. CrossRef
Wang, W., Srinivasan, V., & Chua, K.-C. (2005). Using mobile relays to prolong the lifetime of wireless sensor networks. In Proceeding of MobiCom’05.
Huang, W.-W., Eng, Y.-L., Wen, J., & Yu, M. (2009). Energy efficient multihop hierarchical routing protocol for wireless sensor networks. In Proceedings of international conference on networks security, wireless communications and trusted computing (pp. 469–472).
Heinzelman, W. R., Kulik, J., & Balakrishnan, H. (1999). Adaptive protocols for information dissemination in wireless sensor networks. In Proceedings of Mobicom’99, Seattle Washington, USA (pp. 174–185).
Huang, X., Zhai, H., & Fang, Y. (2008). Robust cooperative routing protocol in mobile wireless sensor networks. IEEE Transactions on Wireless Communications, 7(12), 5278–5285. CrossRef
Liu, X., Wang, Q., & Jin, X. (2008). An energy efficient routing protocol for wireless sensor networks. In Proceeding of the 7th world congress on intelligent control and automation, 25–27 June 25–27 2008, Chongqing, China (pp. 1728–1733).
Zou, X., Ramamurthy, B., & Maglivera, S. (2002). Routing techniques in wireless ad hoc networks—classification and comparison. In Proceedings of the sixth world multiconference on systemics, cybernetics, and informatics (SCI 2002).
Luo, Y., Xu, Y., Huang, L., & Xu, H. (2008). A tracking range based ant colony routing protocol for mobile wireless sensor network. In Proceedings of the 4th international conference on mobile ad-hoc and sensor networks (pp. 116–121).
Yarvis, M., Kushalnagar, N., Singh, H., Rangarajan, A., Liu, Y., & Singh, S. (2005). Exploiting heterogeneity in sensor networks. In Proceedings of IEEE INFOCOM’2005, Miami, FL.
Yang, Y., Fonoage, M. I., & Cardei, M. (2009). Improving network lifetime with mobile wireless sensor networks. Computer Communications. doi: 10.1016/j.comcom.2009.11.010.
Yu, F., Park, S., Lee, E., & Kim, S.-H. (2010). Elastic routing: a novel geographic routing for mobile sinks in wireless sensor networks. IET Communications, 4(6), 716–727. CrossRef
Yu, K., & Guo, Y. J. (2009). Anchor-free localization algorithm and performance analysis in wireless sensor networks. IET Communications, 3(4), 549–560. CrossRef
Yuen, K., Liang, B., & Li, B. (2006). A distributed framework for correlated data gathering in sensor network. In Proceedings of IFIP 2006.
Zaidi, Z. R., & Mark, B. L. (2004). Mobility estimation for wireless networks based on an autoregressive model. In Proceeding of the IEEE GLOBECOM’2004, Dallas, Texas, 4 December.
(SAM) Ma, Z., & Krings, A. W. (2008). Insect population inspired wireless sensor networks: a unified architecture with survival analysis, evolutionary game theory and hybrid fault models. In Proceedings of IEEE international conference on biomedical engineering and informatics (BMEI’2008) (pp. 636–643).
Duan, Z.-F., Guo, F., Deng, M.-X., & Yu, M. (2009). Shortest path routing protocol for multi-layer mobile wireless sensor networks. In International conference on network security, wireless communication and trusted computing (pp. 106–110).
Zhong, Z., & Nelakuditi, S. (2007). On the efficacy of opportunistic routing. In Proceedings of Secom’2007 (pp. 441–450).
- Routing in mobile wireless sensor network: a survey
Getsy S Sara
- Springer US