{'fraction_non_alphanumeric': 0.026701119724375538, 'fraction_numerical': 0.00516795865633075, 'mean_word_length': 5.315217391304348, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
A location-based service advertisement algorithm for pervasive service discovery in wireless mobile networks

The practical success of pervasive services running in mobile wireless networks relies largely on its flexibility in providing adaptive and cost-effective services. Service discovery is an essential mechanism to achieve this goal. As an enhancement to our previous work for service discovery, that is, model-based service discovery (MBSD), this paper proposes a location-based service advertisement (SA) algorithm named as MBSD-sa. MBSD-sa advocates the importance of service location to the service availability and integrates the service location information together with the service semantic information into service information for advertisement. MBSD-sa utilizes prediction to estimate the service location so as to reduce the number of SA messages (SAMs). Two complementary types of SA mechanisms (Types 1 and 2) are employed by MBSD-sa to strike the balance between the SAM overhead and the accuracy of service information. The performance of MBSD-sa is analyzed both numerically and using simulations. Copyright © 2008 John Wiley & Sons, Ltd.