Management of Higher Educational Institutions in Kerala

Economists consider education as an investment in man. Education develops human resources necessary for the economic and political growth of any nation. Adam Smith stressed the importance of education and included the acquired and useful activities of all the inhabitants or members of society in his concept of fixed capital.‘ Karl Marx shared with Smith's view when he laid down that the function of education in a socialist society will be to overcome the alienation of the worker from the means of production; while developing the technical skill it will make him a complete man as well as a producer.2 Education is also considered as a powerful instrument for social change. By inculcating moral and spiritual values, it brings changes both in the individual and in the society. It aims at creating a social order founded on the values of freedom, social justice and equal opportunity.3 The objective of this exploratory study is to enquire into the existing system of managing higher educational institutions in Kerala, compare it with the accepted principles of management believed to be applicable to all organisations, and develop a model capable of introducing more effective management practices

Channel Adaptive MAC Protocol with Traffic-Aware Distributed Power Management in Wireless Sensor Networks-Some Performance Issues

In Wireless Sensor Networks (WSN), neglecting the effects of varying channel quality can lead to an unnecessary wastage of precious battery resources and in turn can result in the rapid depletion of sensor energy and the partitioning of the network. Fairness is a critical issue when accessing a shared wireless channel and fair scheduling must be employed to provide the proper flow of information in a WSN. In this paper, we develop a channel adaptive MAC protocol with a traffic-aware dynamic power management algorithm for efficient packet scheduling and queuing in a sensor network, with time varying characteristics of the wireless channel also taken into consideration. The proposed protocol calculates a combined weight value based on the channel state and link quality. Then transmission is allowed only for those nodes with weights greater than a minimum quality threshold and nodes attempting to access the wireless medium with a low weight will be allowed to transmit only when their weight becomes high. This results in many poor quality nodes being deprived of transmission for a considerable amount of time. To avoid the buffer overflow and to achieve fairness for the poor quality nodes, we design a Load prediction algorithm. We also design a traffic aware dynamic power management scheme to minimize the energy consumption by continuously turning off the radio interface of all the unnecessary nodes that are not included in the routing path. By Simulation results, we show that our proposed protocol achieves a higher throughput and fairness besides reducing the delay