Special Issue - NCRTCC - 16- 2016

  • 1. Social behavior of global community in manet with human mobility

    Authors : Dr. G. Adlinemacriga, J. Niranjana

    Pages : 42-50

    Keywords : net

    Abstract :

    In mobile networks, the performance of data forwarding is understood by Human mobility models. Human mobility patterns are used for the evaluation and analysis of protocols and application performance. The decision for the movement of people is strongly affected by the interaction between people belonging to social circles such as families, friends and co-workers. The Heterogeneous Human Walk (HHW) mobility model analyse the structure of community that overlaps in social networks. The general features of human mobility such as time correlation, location heterogeneity, node heterogeneity and node correlation are considered. Routing in DTN is challenging since it must handle partitioning, long delays and dynamic topology in such networks. Routing performance is improved by taking advantages of positive and negative social characteristics. Positive social effects such as community, friendship and negative social effects such as selfishness. Community is important concept in ecology and sociology. Ecology is where two or more populations of different species occupying same geographical area. In sociology, a group of interacting people living in common location. Two nodes having long-lasting and regular contacts are defined as friendship. Selfishness is where nodes behave selfishly at individual level and aims to only maximize their own utilities without considering system-wide area. They may drop others messages and replicate its own message. Cooperative caching in DTN is enabled for sharing and coordination of cached data that reduces data access delay. The network stability region is characterized by considering the probability of visiting of each node and transmission resource at each location. The network stability decreases when node correlation and location diversity are considered and increases when diversity of location on visiting each node. We need to analyze the throughput optimal policy by means of stability related optimization problem. Using the baseline algorithm 2hop and bubble algorithm and will provide the results.

    Citing this Journal Article :

    Dr. G. Adlinemacriga, J. Niranjana, "Social behavior of global community in manet with human mobility", https://www.ijltet.org/journal_details.php?id=902&j_id=3141, Special Issue - NCRTCC - 16- 2016, 42-50, #ijltetorg