naa a22 4500 510798349 CHVBK 20180411083344.0 cr unu---uuuuu 180411e20131001xx s 000 0 eng 10.1007/s11277-013-1185-x doi (NATIONALLICENCE)springer-10.1007/s11277-013-1185-x A Localized Computing Approach for Connectivity Improvement Analysis in Wireless Personal Networks [Elektronische Daten] [Jennifer Raj, R. Harikumar] A fundamental problem that confronts wireless networks are localization, mobility maintenance and number of neighbors required to maintain the connectivity. To overcome this problem and achieve a better quality of service, a self stability model is introduced, named as localized tree model which includes min and max routing methods. This work is based on node degree, neighbor's information and coverage area. Based on the mobility requirements of the network, dynamic structures are formed with minimum control load and complexity. Main objective of the research is to obtain the network parameters from the connectivity analysis. The performance of the proposed approach is witnessed by analyzing the parameters like scalability, packet delivery ratio and connectivity efficiency. Springer Science+Business Media New York, 2013 Localized tree models nationallicence Mobile computing nationallicence Wireless networks nationallicence Node degree nationallicence Coverage area nationallicence Raj Jennifer Karunya University, Coimbatore, India aut Harikumar R. Department of ECE, Bannari Amman Institute of Technology, Sathy, India aut Wireless Personal Communications Springer US; http://www.springer-ny.com 72/4(2013-10-01), 2867-2883 0929-6212 72:4<2867 2013 72 11277 https://doi.org/10.1007/s11277-013-1185-x text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11277-013-1185-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Raj Jennifer Karunya University, Coimbatore, India aut NATIONALLICENCE 700 1- Harikumar R. Department of ECE, Bannari Amman Institute of Technology, Sathy, India aut NATIONALLICENCE 773 0- Wireless Personal Communications Springer US; http://www.springer-ny.com 72/4(2013-10-01), 2867-2883 0929-6212 72:4<2867 2013 72 11277 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer