{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:35:54Z","timestamp":1760243754614,"version":"build-2065373602"},"reference-count":18,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2011,1,13]],"date-time":"2011-01-13T00:00:00Z","timestamp":1294876800000},"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>Wireless Sensor Networks (WSNs) can be implemented as one of sensor systems in Network Centric Warfare (NCW). Mobility support and energy efficiency are key concerns for this application, due to multiple mobile users and stimuli in real combat field. However, mobility support approaches that can be adopted in this circumstance are rare. This paper proposes Multiple Mobility Support Approach (MMSA) based on Probing Environment and Adaptive Sleeping (PEAS) to support the simultaneous mobility of both multiple users and stimuli by sharing the information of stimuli in WSNs. Simulations using Qualnet are conducted, showing that MMSA can support multiple mobile users and stimuli with good energy efficiency. It is expected that the proposed MMSA can be applied to real combat field.<\/jats:p>","DOI":"10.3390\/s110100852","type":"journal-article","created":{"date-parts":[[2011,1,13]],"date-time":"2011-01-13T12:17:23Z","timestamp":1294921043000},"page":"852-863","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A Multiple Mobility Support Approach (MMSA) Based on PEAS for NCW in Wireless Sensor Networks"],"prefix":"10.3390","volume":"11","author":[{"given":"Bong-Joo","family":"Koo","sequence":"first","affiliation":[{"name":"Department of Integrated Engagement Control of the PGM R&D Institute, Agency for Defense Development, Yuseong, P.O. Box 35-1, Daejeon, 305-600, Korea"}]},{"given":"Seog-Bong","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Joint Modeling & Simulation Center, Agency for Defense Development, Yuseong, P.O. Box 35, Daejeon, 305-600, Korea"}]},{"given":"Jong-Yil","family":"Park","sequence":"additional","affiliation":[{"name":"Department of Joint Modeling & Simulation Center, Agency for Defense Development, Yuseong, P.O. Box 35, Daejeon, 305-600, Korea"}]},{"given":"Kang-Min","family":"Park","sequence":"additional","affiliation":[{"name":"Department of Image Information Program Executive Office, Agency for Defense Development, Yuseong, P.O. Box 35-3, Daejeon, 305-600, Korea"}]}],"member":"1968","published-online":{"date-parts":[[2011,1,13]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"102","DOI":"10.1109\/MCOM.2002.1024422","article-title":"A Survey on Sensor Networks","volume":"40","author":"Akyildiz","year":"2002","journal-title":"IEEE Commun. Mag"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1109\/MP.2003.1197877","article-title":"Sensor Networks: An Overview","volume":"22","author":"Tubaishat","year":"2003","journal-title":"IEEE Potentials"},{"key":"ref_3","unstructured":"Bharathidasan, A., and Ponduru, V.A.S. Sensor Networks: An Overview. Available online: http:\/\/wwwcsif.cs.ucdavis.edu\/~bharathi\/sensor\/survey.pdf (accessed on 1 January 2010)."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Ahmed, A.A., Shi, H., and Shang, Y. (2003, January 11\u201313). A Survey on Network Protocols for Wireless Sensor Networks. Los Alamitos, CA, USA.","DOI":"10.1109\/ITRE.2003.1270626"},{"key":"ref_5","unstructured":"Chong, C,-Y., and Kumar, S.P. (2003, January 11\u201314). Sensor Networks: Evolution, Opportunities, and Challenges. Stanford, CA, USA."},{"key":"ref_6","unstructured":"Yan., T., and Wang, B. (2006, January 25\u201328). Integration of NCW Sensor networks and the Grid. Guilin, China."},{"key":"ref_7","unstructured":"Chen, Z., Liu, S., and Zhang, X. (2010, January 24\u201325). Dynamic Grid Switch in Multi-sink Mobile Sensor Networks. Hubei, China."},{"key":"ref_8","unstructured":"Ying, B., Chen, H., Zhao, W., and Qiu, P. (2006, January 21\u201323). A Diagonal-based TTDD in Wireless Sensor Network. Dalian, China."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Duan, Z.-F., Guo, F., Deng, M.-X., and Yu, M. (2009, January 25\u201326). Shortest Path Routing Protocol for Multi-layer Mobile Wireless Sensor Networks. Wuhan, China.","DOI":"10.1109\/NSWCTC.2009.282"},{"key":"ref_10","unstructured":"Heizelman, W.R., Chandrakasan, A.P., and Balakrishnan, H. (2000, January 4\u20137). Energy-Effiecient Communication Protocol for Wireless Microsensor Networks. Maui, HI, USA."},{"key":"ref_11","unstructured":"Lindsey, S., and Raghavendra, C.S. (2002, January 9\u201316). PEGASIS: Power-Effiecient gathering in sensor information system. Big Sky, MT, USA."},{"key":"ref_12","unstructured":"Marjeshwar, A., and Agrawal, D.P. (2001, January 23\u201327). TEEN: A Protocol for enhanced efficiency in wireless sensor networks. San Francisco, CA, USA."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Ye, F., Luo, H., Lu, S., and Zhang, L. (2002, January 23\u201328). Sensor Networks: A two-tier data dissemination model for large-scale wireless sensor networks. Atlanta, GA, USA.","DOI":"10.1145\/570645.570664"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Intanagonwiwat, C., Govindan, R., and Estrin, D. (2000, January 6\u201311). Directed Diffusion: A Scalable and Robust Communication Paradigm for Sensor Networks. Boston, MA, USA.","DOI":"10.1145\/345910.345920"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1117\/12.407521","article-title":"Declarative ad-hoc sensor networking","volume":"4126","author":"Con","year":"2000","journal-title":"Proc. SPIE"},{"key":"ref_16","unstructured":"Ye, F., Lu, S., and Zhang, L. GRAdient Broadcast: A Robust, Long-lived Large Sensor Network. Available online: http:\/\/irl.cs.ucla.edu\/papers\/grab-tech-report.ps (accessed on 1 January 2010)."},{"key":"ref_17","unstructured":"Albowitz, J., Chen, A., and Zhang, L. Recursive Position Estimation in Sensor Networks. Riverside, CA, USA."},{"key":"ref_18","unstructured":"Ye, F., Zhong, G., Lu, S., and Zhang, L. (2003, January 19\u201322). PEAS: A Robust Energy Conserving Protocol for Long-lived Sensor Networks. Providence, RI, USA."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/11\/1\/852\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T21:54:53Z","timestamp":1760219693000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/11\/1\/852"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011,1,13]]},"references-count":18,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2011,1]]}},"alternative-id":["s110100852"],"URL":"https:\/\/doi.org\/10.3390\/s110100852","relation":{},"ISSN":["1424-8220"],"issn-type":[{"type":"electronic","value":"1424-8220"}],"subject":[],"published":{"date-parts":[[2011,1,13]]}}}