M-Commerce: The Trend of Mobility

Researches on mobile technology introducing new services to fulfill the growing demand of mobility in today’s world. One of the attractive services developed with support of mobile technology in recent years, is providing banking and financial services. Applications in this are includes buying over phone, purchase and redemption of ticket and reward schemes, travel and weather information, and writing contracts on the move. These types of mobile applications are categorized as m-commerce [3]. There is significant and growing demand on deploying banking and financial services over mobile networks.

M-Commerce applications are very useful for mobile users in many ways. Any user with a mobile phone can access m-commerce application in real time at any place. Also mobile device provide security into some extent than online business because SIM card can be used to store confidential user information. Also it can be develop to provide local information services by localizing registered users within a specific area with the help of positioning techniques such as GIS/GPS technologies. But there are some limitations such as mobile devices provide limited capabilities (such as limited memory/display etc) and communication through the wireless mobile network introduce additional security treats. (e.g.: eavesdropping)

In fact, m-Commerce has potential to address a major service gap in developing countries that is critical to their social and economic development. However the success of m-commerce very much depends on the security of the underlying technologies.

Sensor Network Overview

The traditional sensor networks are deployed on labs, buildings or under special technical environment. They are large and consuming lot of power. But due to the rapid development of technology today the sensor networks consist of smart sensor devices. Sensor nodes are kind of computers with small computational power. They are operating using battery power and have wireless link to communicate with other nodes. Sensor node typically use extremely low power and physically they are very small. Because of the physical size they can be controlled easily. But power consumption is utmost important, because sensors should work continuously for a long period without human intervention.

Distributed information systems should access data frequently in remote locations to proceed with there operations. Accessing the data frequently and processing various queries are costly in terms of communication link, energy, computational power and latency etc. As a solution for the above problem, Acquisitional Query Processing Approach is introduced. According to the ACQP approach, data is acquired (sampled) after the query passed into the node. Hence data is gathered as specified in query. So the nodes in distributed system have control over time, place and how often particular data sample is acquired. Due to the data gathered as specified in query, unnecessary data is not acquired and the cost of processing power and the power consumption of the node is reduced. Not only that ACQP approach can use in all level of query processing (query optimization, query execution) in order to increase the efficiency. (Because information over location time parameters)