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For many years, scalable routing for wireless communication systems was a compelling but elusive goal. Recently, several routing algorithms that exploit geographic information (e.g., GPSR) have been proposed to achieve this goal. These algorithms refer to nodes by their location, not address, and use those coordinates to route greedily, when possible, towards the destination. However, there are many situations where location information is not available at the nodes, and so geographic methods cannot be used. In this paper we define a scalable coordinate-based routing algorithm that does not rely on location information, and thus can be used in a wide variety of ad hoc and sensornet environments.

This study replicates the Chrisman, Chua, Sharma 1998 Canadian study in the Indian context. Using data from 43 Indian family firms, this study compares the successor attributes that Indian and Canadian family business owners consider most important. Despite significant differences in norms and culture prevalent in these two countries, results of this comparative study indicate that both sets of family firm owners rate integrity and commitment to the business as the two most important attributes of a successor. However, compared to Canadian family firm owners, Indian owners rate blood and family relationships higher. Canadian respondents, on the other hand, rate interpersonal skills, past performance, and experience higher.

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Purpose -Commercial and Islamic banks are important players in the UAE financial market. However, little is known about their financial distress because these financial institutions usually resolve financial distress within their own organisations, which means that outsiders cannot explicitly observe distress. The purpose of the research is therefore to identify the main drivers of financial institutions' financial distress. Design/methodology/approach -The paper estimates a probability distress prediction model using the BankScope Database and the annual reports of UAE financial institutions submitted to UAE Security Exchange Authority. The paper also analyses the impact of macroeconomic information for forecasting financial institutions' financial distress. Findings -The fundamentals of financial institutions in terms of cost income ratio, equity to total assets, total asset growth and ratio of loan loss reserve to gross loans (all these variables with a lag of one year) positively impacted the probability of financial distress in the next year. Recent findings for emerging economies have cast some doubt on the usefulness of macroeconomic information for financial institutions' risk assessment. Similar results are found for UAE financial institutions in predicting the probability of financial distress. Originality/value -This is the first study to provide empirical evidence on the drivers of financial distress of commercial and Islamic banks in UAE during 2000-2008, and to examine the extent of the financial distress that can be can be attributed to internal bank-specific fundamental factors and external factors in the economy.