{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T04:44:42Z","timestamp":1761108282600,"version":"build-2065373602"},"reference-count":48,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2017,11,9]],"date-time":"2017-11-09T00:00:00Z","timestamp":1510185600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Symmetry"],"abstract":"<jats:p>Transferring emergent target tracking data to sinks is a major challenge in the Industrial Internet of Things (IIoT), because inefficient data transmission can cause significant personnel and property loss. For tracking a constantly moving mobile target, sensing data should be delivered to sinks continuously and quickly. Although there is some related research, the end to end tracking delay is still unsatisfying. In this paper, we propose a Fast and Efficient Data Forwarding (FEDF) scheme for tracking mobile targets in sensor networks to reduce tracking delay and maintain a long lifetime. Innovations of the FEDF scheme that differ from traditional scheme are as follows: firstly, we propose a scheme to transmit sensing data through a Quickly Reacted Routing (QRR) path which can reduce delay efficiently. Duty cycles of most nodes on a QRR path are set to 1, so that sleep delay of most nodes turn 0. In this way, end to end delay can be reduced significantly. Secondly, we propose a perfect method to build QRR path and optimize it, which can make QRR path work more efficiently. Target sensing data routing scheme in this paper belongs to a kind of trail-based routing scheme, so as the target moves, the routing path becomes increasingly long, reducing the working efficiency. We propose a QRR path optimization algorithm, in which the ratio of the routing path length to the optimal path is maintained at a smaller constant in the worst case. Thirdly, it has a long lifetime. In FEDF scheme duty cycles of nodes near sink in a QRR path are the same as that in traditional scheme, but duty cycles of nodes in an energy-rich area are 1. Therefore, not only is the rest energy of network fully made use of, but also the network lifetime stays relatively long. Finally, comprehensive performance analysis shows that the FEDF scheme can realize an optimal end to end delay and energy utilization at the same time, reduce end to end delay by 87.4%, improve network energy utilization by 2.65%, and ensure that network lifetime is not less than previous research.<\/jats:p>","DOI":"10.3390\/sym9110269","type":"journal-article","created":{"date-parts":[[2017,11,9]],"date-time":"2017-11-09T11:33:02Z","timestamp":1510227182000},"page":"269","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Fast and Efficient Data Forwarding Scheme for Tracking Mobile Targets in Sensor Networks"],"prefix":"10.3390","volume":"9","author":[{"given":"Mi","family":"Zhou","sequence":"first","affiliation":[{"name":"School of Information Science and Engineering, Central South University, Changsha 410083, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ming","family":"Zhao","sequence":"additional","affiliation":[{"name":"School of Software, Central South University, Changsha 410075, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5190-4761","authenticated-orcid":false,"given":"Anfeng","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering, Central South University, Changsha 410083, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ming","family":"Ma","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Stony Brook University, Stony Brook, NY 11794, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tiang","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Technology, Huaqiao University, Quanzhou 362000 China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Changqin","family":"Huang","sequence":"additional","affiliation":[{"name":"School of Information Technology in Education, South China Normal University, Guangzhou 510631, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2017,11,9]]},"reference":[{"key":"ref_1","first-page":"947","article-title":"Security Challenges in Recent Internet Threats and Enhanced Security Service Model for Future IT Environments","volume":"17","author":"Kim","year":"2016","journal-title":"J. Internet Technol."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1635","DOI":"10.1007\/s11277-015-3093-8","article-title":"Efficient Resource Management Scheme for Storage Processing in Cloud Infrastructure with Internet of Things","volume":"91","author":"Kim","year":"2016","journal-title":"Wirel. Pers. Commun."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"364","DOI":"10.1016\/j.compeleceng.2016.09.005","article-title":"A green and reliable communication modeling for industrial internet of things","volume":"58","author":"Liu","year":"2017","journal-title":"Comput. Electr. Eng."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Park, J.H., and Chao, H.C. (2017). Advanced IT-Based Future Sustainable Computing. Sustainability, 9.","DOI":"10.3390\/su9050757"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"118","DOI":"10.1016\/j.ins.2017.09.036","article-title":"An adaptive virtual relaying set scheme for loss-and-delay sensitive WSNs","volume":"424","author":"Liu","year":"2018","journal-title":"Inform. Sci."},{"key":"ref_6","first-page":"94","article-title":"Big data orchestration as a service networking","volume":"55","author":"Liu","year":"2017","journal-title":"IEEE Commun. Mag."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Wang, J., Liu, A., and Zhang, S. (2017). Key parameters decision for cloud computing: Insights from a multiple game model. Concurr. Comput. Pract. Exp.","DOI":"10.1002\/cpe.4200"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"1650","DOI":"10.1109\/TMM.2016.2566584","article-title":"Game Theoretic Resource Allocation in Media Cloud with Mobile Social Users","volume":"18","author":"Su","year":"2016","journal-title":"IEEE Trans. Multimed."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"74","DOI":"10.1109\/MWC.2015.7224730","article-title":"Engineering searchable encryption of mobile cloud networks: When QoE meets QoP","volume":"22","author":"Li","year":"2015","journal-title":"IEEE Wirel. Commun."},{"key":"ref_10","unstructured":"Liu, Y., Liu, A., Guo, S., Li, Z., Choi, Y.J., and Sekiya, H. (2017). Context-aware collect data with energy efficient in Cyber-physical cloud systems. Future Gener. Comput. Syst."},{"key":"ref_11","first-page":"1","article-title":"An unequal redundancy level based mechanism for reliable data collection in wireless sensor networks","volume":"258","author":"Zhang","year":"2016","journal-title":"EURASIP J. Wirel. Commun. Netw."},{"key":"ref_12","unstructured":"Liu, X., Dong, M., Ota, K., Yang, L.T., and Liu, A. (2016). Trace malicious source to guarantee cyber security for mass monitor critical infrastructure. J. Comput. Syst. Sci."},{"key":"ref_13","unstructured":"Liu, X., Zhao, S., Liu, A., Xiong, N., and Vasilakos, A.V. (2017). Knowledge-aware Proactive Nodes Selection Approach for Energy management in Internet of Things. Future Gener. Comput. Syst."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1145\/2974021","article-title":"Distributed Multi-representative Re-Fusion approach for Heterogeneous Sensing Data Collection","volume":"16","author":"Liu","year":"2017","journal-title":"ACM Trans. Embed. Comput. Syst."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"7448","DOI":"10.1109\/TVT.2015.2498281","article-title":"Full-view area coverage in camera sensor networks: Dimension reduction and near-optimal solutions","volume":"65","author":"He","year":"2016","journal-title":"IEEE Trans. Veh. Technol."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Chen, X., Ma, M., and Liu, A. (2017). Dynamic power management and adaptive packet size selection for IoT in e-Healthcare. Comput. Electr. Eng.","DOI":"10.1016\/j.compeleceng.2017.06.010"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Chen, X., Xu, Y., and Liu, A. (2017). Cross layer design for optimal delay, energy efficiency and lifetime in body sensor networks. Sensors, 17.","DOI":"10.3390\/s17040900"},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Xu, Y., Chen, X., Liu, A., and Hu, C. (2017). A latency and coverage optimized data collection scheme for smart cities based on vehicular ad-hoc networks. Sensors, 17.","DOI":"10.3390\/s17040888"},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Xu, Y., Liu, A., and Huang, C. (2016). Delay-aware program codes dissemination scheme in Internet of everything. Mob. Inform. Syst.","DOI":"10.1155\/2016\/2436074"},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Li, T., Liu, Y., Gao, L., and Liu, A. (2017). A Cooperative-based Model for Smart-Sensing Tasks in Fog Computing. IEEE Access.","DOI":"10.1109\/ACCESS.2017.2756826"},{"key":"ref_21","first-page":"7538190","article-title":"Energy-efficient broadcasting scheme for smart industrial wireless sensor networks","volume":"2017","author":"Chen","year":"2017","journal-title":"Mob. Inform. Syst."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"1268","DOI":"10.1109\/TMC.2013.129","article-title":"Mobility and intruder prior information improving the barrier coverage of sparse sensor networks","volume":"13","author":"He","year":"2014","journal-title":"IEEE Trans. Mob. Comput."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Zhao, S., and Liu, A. (2017). High performance target tracking scheme with low prediction precision requirement in WSNs. Int. J. Ad Hoc Ubiquitous Comput., in press.","DOI":"10.1504\/IJAHUC.2018.10016988"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"411","DOI":"10.1007\/s11277-012-0701-8","article-title":"A tracking-assisted routing scheme for wireless sensor networks","volume":"70","author":"Chi","year":"2013","journal-title":"Wirel. Pers. Commun."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1160","DOI":"10.1109\/JSYST.2014.2308391","article-title":"Mobile Target Detection in Wireless Sensor Networks with Adjustable Sensing Frequency","volume":"10","author":"Hu","year":"2016","journal-title":"IEEE Syst. J."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"68","DOI":"10.1145\/2990500","article-title":"preserving smart sink location privacy with delay guaranteed routing scheme for WSNs","volume":"16","author":"Liu","year":"2017","journal-title":"ACM Trans. Embed. Comput. Syst."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"559","DOI":"10.1007\/s12083-016-0501-0","article-title":"Distributed Duty cycle control for delay improvement in wireless sensor networks","volume":"10","author":"Chen","year":"2017","journal-title":"Peer-to-Peer Netw. Appl."},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Liu, X., Li, G., Zhang, S., and Liu, A. (2017). Big program code dissemination scheme for emergency software-define wireless sensor networks. Peer-to-Peer Netw. Appl.","DOI":"10.1007\/s12083-017-0565-5"},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Liu, Y., Liu, A., Li, Y., Li, Z., Choi, Y.J., Sekiya, H., and Li, J. (2017). APMD: A fast data transmission protocol with reliability guarantee for pervasive sensing data communication. Pervasive Mob. Comput.","DOI":"10.1016\/j.pmcj.2017.03.012"},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Huang, C., Ma, M., Liu, Y., and Liu, A. (2017). Preserving source location privacy for energy harvesting WSNs. Sensors, 17.","DOI":"10.3390\/s17040724"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"789","DOI":"10.1007\/s10922-016-9367-y","article-title":"Flexible Adjustments between Energy and Capacity for Topology Control in Heterogeneous Wireless Multi-Hop Networks","volume":"24","author":"Gui","year":"2016","journal-title":"J. Netw. Syst. Manag."},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Liu, Q., and Liu, A. (2017). On the hybrid using of unicast-broadcast in wireless sensor networks. Comput. Electr. Eng.","DOI":"10.1016\/j.compeleceng.2017.03.004"},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Liu, X., Liu, A., Li, Z., Tian, S., Choi, Y.J., Sekiya, H., and Li, J. (2017). Distributed cooperative communication nodes control and optimization reliability for resource-constrained WSNs. Neurocomputing.","DOI":"10.1016\/j.neucom.2016.12.105"},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Chen, Z., Ma, M., Liu, X., Liu, A., and Zhao, M. (2017). Reliability Improved Cooperative Communications over Wireless Sensor Networks. Symmetry, 9.","DOI":"10.3390\/sym9100209"},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Wang, J., Liu, A., Yan, T., and Zeng, Z. (2017). A resource allocation model based on double-sided combinational auctions for transparent computing. Peer-to-Peer Netw. Appl.","DOI":"10.1007\/s12083-017-0556-6"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1109\/MNET.2015.7166192","article-title":"A novel design for content delivery over software defined mobile social networks","volume":"29","author":"Su","year":"2015","journal-title":"IEEE Netw."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"9251","DOI":"10.1109\/ACCESS.2016.2647236","article-title":"A similarity scenario-based recommendation model with small disturbances for unknown items in social networks","volume":"4","author":"Li","year":"2016","journal-title":"IEEE Access"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1109\/MCOM.2015.7120047","article-title":"Content distribution over content centric mobile social networks in 5G","volume":"53","author":"Zhou","year":"2015","journal-title":"IEEE Commun. Mag."},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Liu, X., Liu, A., and Huang, C. (2017). Adaptive Information Dissemination Control to Provide Diffdelay for Internet of Things. Sensors, 17.","DOI":"10.3390\/s17010138"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1016\/j.adhoc.2015.07.005","article-title":"A general model for MAC protocol selection in wireless sensor networks","volume":"36","author":"Asudeh","year":"2016","journal-title":"Ad Hoc Netw."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"207","DOI":"10.1186\/s13638-015-0433-z","article-title":"ADCNC-MAC: Asynchronous duty cycle with network-coding MAC protocol for underwater acoustic sensor networks","volume":"2015","author":"Feng","year":"2015","journal-title":"EURASIP J. Wirel. Commun. Netw."},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Bakshi, M., Kaddour, M., Jaumard, B., and Narayanan, L. (2015, January 9\u201312). An efficient method to minimize TDMA frame length in wireless sensor networks. Proceedings of the 2015 IEEE Wireless Communications and Networking Conference (WCNC), New Orleans, LA, USA.","DOI":"10.1109\/WCNC.2015.7127576"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"396","DOI":"10.1016\/j.aeue.2013.11.001","article-title":"Bounded end-to-end delay with Transmission Power Control techniques for rechargeable wireless sensor networks","volume":"68","author":"Gao","year":"2014","journal-title":"AEU Int. J. Electron. Commun."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"1508","DOI":"10.1109\/TMC.2010.116","article-title":"Duty cycle control for low-power-listening MAC protocols","volume":"9","author":"Merlin","year":"2010","journal-title":"IEEE Trans. Mob. Comput."},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Sun, Y., Du, S., Johnson, D.B., and Gurewitz, O. (2008, January 26\u201330). DW-MAC: A low latency, energy efficient demand\u2014Wakeup MAC protocol for wireless sensor networks. Proceedings of the 9th ACM International Symposium on Mobile ad Hoc Networking and Computing, Hong Kong, China.","DOI":"10.1145\/1374618.1374627"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"1452","DOI":"10.1016\/j.comcom.2010.03.025","article-title":"An energy-efficient and low-latency MAC protocol with adaptive scheduling for multi-hop wireless sensor networks","volume":"33","author":"Zhao","year":"2010","journal-title":"Comput. Commun."},{"key":"ref_47","doi-asserted-by":"crossref","unstructured":"Xu, J., Liu, X., Ma, M., Liu, A., Wang, T., and Huang, C. (2017). Intelligent Aggregation based on Content Routing Scheme for Cloud Computing. Symmetry, 9.","DOI":"10.3390\/sym9100221"},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"475","DOI":"10.1109\/TMC.2011.279","article-title":"Relay selection for geographical forwarding in sleep-wake cycling wireless sensor networks","volume":"12","author":"Naveen","year":"2013","journal-title":"IEEE Trans. Mob. Comput."}],"container-title":["Symmetry"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2073-8994\/9\/11\/269\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T18:48:49Z","timestamp":1760208529000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2073-8994\/9\/11\/269"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,11,9]]},"references-count":48,"journal-issue":{"issue":"11","published-online":{"date-parts":[[2017,11]]}},"alternative-id":["sym9110269"],"URL":"https:\/\/doi.org\/10.3390\/sym9110269","relation":{},"ISSN":["2073-8994"],"issn-type":[{"type":"electronic","value":"2073-8994"}],"subject":[],"published":{"date-parts":[[2017,11,9]]}}}