{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:40:22Z","timestamp":1760244022943,"version":"build-2065373602"},"reference-count":36,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2010,12,30]],"date-time":"2010-12-30T00:00:00Z","timestamp":1293667200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>On-demand information retrieval enables users to query and collect up-to-date sensing information from sensor nodes. Since high energy efficiency is required in a sensor network, it is desirable to disseminate query messages with small traffic overhead and to collect sensing data with low energy consumption. However, on-demand query messages are generally forwarded to sensor nodes in network-wide broadcasts, which create large traffic overhead. In addition, since on-demand information retrieval may introduce intermittent and spatial data collections, the construction and maintenance of conventional aggregation structures such as clusters and chains will be at high cost. In this paper, we propose an on-demand information retrieval approach that exploits the name resolution of data queries according to the attribute and location of each sensor node. The proposed approach localises each query dissemination and enable localised data collection with maximised aggregation. To illustrate the effectiveness of the proposed approach, an analytical model that describes the criteria of sink proxy selection is provided. The evaluation results reveal that the proposed scheme significantly reduces energy consumption and improves the balance of energy consumption among sensor nodes by alleviating heavy traffic near the sink.<\/jats:p>","DOI":"10.3390\/s110100341","type":"journal-article","created":{"date-parts":[[2010,12,30]],"date-time":"2010-12-30T10:33:15Z","timestamp":1293705195000},"page":"341-361","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["On-Demand Information Retrieval in Sensor Networks with Localised Query and Energy-Balanced Data Collection"],"prefix":"10.3390","volume":"11","author":[{"given":"Rui","family":"Teng","sequence":"first","affiliation":[{"name":"National Institute of Information and Communications Technology, Kyoto 619-0288, Japan"}]},{"given":"Bing","family":"Zhang","sequence":"additional","affiliation":[{"name":"National Institute of Information and Communications Technology, Kyoto 619-0288, Japan"}]}],"member":"1968","published-online":{"date-parts":[[2010,12,30]]},"reference":[{"key":"ref_1","unstructured":"Mainwaring, A., Polastre, J., Szewczyk, R., Culler, D., and Anderson, J. Wireless Sensor Networks for Habitat Monitoring. Atlanta, GA, USA."},{"key":"ref_2","unstructured":"Heidemann, J., Silva, F., Intanagonwiwat, C., Govindan, R., Estrin, D., and Ganesan, D. (, January October). Building Efficient Wireless Sensor Networks with Low-Level Naming. Banff, AB, Canada."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1109\/TNET.2002.808417","article-title":"Directed Diffusion for Wireless Sensor Networking","volume":"11","author":"Intanagonwiwat","year":"2002","journal-title":"ACM\/IEEE Trans. Netw"},{"key":"ref_4","unstructured":"Center for Embedded Networked Sensing Available online: http:\/\/research.cens.ucla.edu\/research\/ (accessed on 1 December 2010)."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1109\/MWC.2004.1368894","article-title":"Geocasting with guaranteed delivery in sensor networks","volume":"11","author":"Stojmenovic","year":"2004","journal-title":"IEEE Wireless Commun. Mag"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1109\/65.967595","article-title":"A Survey on Position Based Routing in Ad-Hoc Networks","volume":"15","author":"Mauve","year":"2001","journal-title":"IEEE Network Mag"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"660","DOI":"10.1109\/TWC.2002.804190","article-title":"An application-specific protocol architecture for wireless microsensor networks","volume":"1","author":"Heinzelman","year":"2002","journal-title":"IEEE Trans. Wireless Commun"},{"key":"ref_8","unstructured":"Madden, S., Franklin, M.J., Hellerstein, J.M, and Hong, M. (, January December). TAG: A Tiny AGgregation service for ad-hoc sensor networks. Boston, MA, USA."},{"key":"ref_9","unstructured":"Yao, Y., and Gehrke, J.E. (, January September). The Cougar Approach to In-Network Query Processing in Sensor Networks. Madison, WI, USA."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"1010","DOI":"10.1109\/TPDS.2007.1046","article-title":"An Energy-Efficient Data Collection Framework for Wireless Sensor Networks by Exploiting Spatiotemporal Correlation","volume":"18","author":"Liu","year":"2007","journal-title":"IEEE Trans. Parallel Distrib. Syst"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"1766","DOI":"10.1109\/TPDS.2007.1110","article-title":"ASAP: An Adaptive Sampling Approach to Data Collection in Sensor Networks","volume":"18","author":"Gedik","year":"2007","journal-title":"IEEE Trans. Parallel Distrib. Syst"},{"key":"ref_12","unstructured":"The Network Simulator: Building Ns Available online: http:\/\/www.isi.edu\/nsnam\/ns\/ns-build.html#allinone (accessed on 1 December 2010)."},{"key":"ref_13","unstructured":"Department of Electrical Engineering, the City University of New York, New York, NY, USA; Available online: http:\/\/ees2cy.engr.ccny.cuny.edu\/zheng\/pub\/ (accessed on 1 December 2010)."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1145\/959060.959072","article-title":"Power efficient data gathering and aggregation in wireless sensor networks","volume":"32","author":"Tan","year":"2003","journal-title":"ACM SIGMOD Record"},{"key":"ref_15","unstructured":"Lindsey, S., and Raghavendra, C.S. (, January March). PEGASIS: Power efficient gathering in sensor information systems. Big Sky, MT, USA."},{"key":"ref_16","unstructured":"Kulik, L., Tanin, E., and Umer, M. (, January October). Efficient data collection and selective queries in sensor networks. Boston, MA, USA."},{"key":"ref_17","unstructured":"Petrovic, D., Shah, R.C, Ramchandran, K., and Rabaey, J. Data Funneling: Routing with Aggregation and Compression for Wireless Sensor Networks."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1109\/MPRV.2003.1251166","article-title":"IrisNet: An Architecture for a Worldwide Sensor Web","volume":"2","author":"Karp","year":"2003","journal-title":"IEEE Pervasive Comput"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"102","DOI":"10.1109\/MCOM.2002.1024422","article-title":"A survey on wireless sensor networks","volume":"11","author":"Akyildiz","year":"2002","journal-title":"IEEE Commun. Mag"},{"key":"ref_20","unstructured":"Ko, Y., and Vaidya, N.H. Geocasting in mobile ad-hoc networks: Location-based multicast algorithms. New Orleans, LA, USA."},{"key":"ref_21","unstructured":"Ding, J., Sivalingam, K.M., Kashyapa, R., and Chuan, L.J. (, January October). A multi-layered architecture and protocols for large-scale wireless sensor networks. Orlando, FL, USA."},{"key":"ref_22","unstructured":"Fujiwara, T., Iida, N., and Watanabe, T. (, January March). An ad hoc routing protocol in hybrid wireless networks for emergency communications. Tokyo, Japan."},{"key":"ref_23","unstructured":"Zou, S., Nikolaidis, I., and Harms, J.J. (, January July). Efficient data collection trees in sensor networks with redundancy removal. Vancouver, Canada."},{"key":"ref_24","unstructured":"Stojmenovic, I. (, January June). Data Gathering and Activity Scheduling in Ad Hoc and Sensor Networks. Chicago, Illinois, IL, USA."},{"key":"ref_25","unstructured":"Meliou, A., Chu, D., Guestrin, C., Hellerstein, J., and Hong, W. (, January April). Data Gathering Tours in Sensor Networks. Nashville, TN, USA."},{"key":"ref_26","unstructured":"Johnson, D., Hu, Y., and Maltz, D. The Dynamic Source Routing Protocol (DSR) for Mobile Ad Hoc Networks for IPv4; RFC 4728. Available online: http:\/\/www.faqs.org\/rfcs\/rfc4728.html (accessed on 1 December 2010)."},{"key":"ref_27","unstructured":"Ren, B., Ma, J., and Chen, C. (, January July). The Hybrid Mobile Wireless Sensor Networks for Data Gathering. Vancouver, British Columbia, Canada."},{"key":"ref_28","unstructured":"Jayaraman, P., Zaslavsky, A., and Delsing, J. (, January July). Sensor Data Collection Using Heterogeneous Mobile Devices. The Marmara Istanbul, Turkey."},{"key":"ref_29","first-page":"12","article-title":"Data collection in Event-Driven Wireless Sensor Network with Mobile Sinks","volume":"2010","author":"Sabbineni","year":"2010","journal-title":"Int. J. Distrib. Sens. Netw"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"710","DOI":"10.1109\/TPDS.2007.70770","article-title":"Avoiding Energy Holes in Wireless Sensor Networks with Nonuniform Node Distribution","volume":"19","author":"Wu","year":"2008","journal-title":"IEEE Trans. Parallel Distrib. Syst"},{"key":"ref_31","first-page":"151","article-title":"Training a sensor networks","volume":"10","author":"Wadaa","year":"2005","journal-title":"MONET"},{"key":"ref_32","unstructured":"Olariu, S., and Stojmenovic, I. (, January April). Design guidelines for maximizing lifetime and avoiding energy holes in sensor networks with uniform distribution and uniform reporting. Barcelona, Spain."},{"key":"ref_33","unstructured":"He, T., Huang, C., Blum, B., Stankovic, J., and Abdelzaher, T. Rangefree localization schemes in large scale sensor networks. San Diego, CA, USA."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"499","DOI":"10.1016\/S1389-1286(03)00356-6","article-title":"Distributed localization in wireless sensor networks: A quantitative comparison","volume":"43","author":"Langendoen","year":"2003","journal-title":"Comput. Netw"},{"key":"ref_35","unstructured":"Teng, R., Zhang, B., and Tan, Y. (, January November). A Study of Localized On-Demand Data Collection in Sensor Networks. Adelaide, Australia."},{"key":"ref_36","unstructured":"Karp, B., and Kung, H.T. GPSR: Greedy perimeter stateless routing for wireless networks. Boston, MA, USA."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/11\/1\/341\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T22:04:16Z","timestamp":1760220256000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/11\/1\/341"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010,12,30]]},"references-count":36,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2011,1]]}},"alternative-id":["s110100341"],"URL":"https:\/\/doi.org\/10.3390\/s110100341","relation":{},"ISSN":["1424-8220"],"issn-type":[{"type":"electronic","value":"1424-8220"}],"subject":[],"published":{"date-parts":[[2010,12,30]]}}}