Gender Issues in Development

Women participating in work outside home and the resultant change in Labour market structure placeing female labour as a strong component were breakthrough of twentieth centry. The major share of women labourers in India is crowding in agriculture, household industries and other traditional sectors. Shift in cropping pattern has adverse impacts on female labour. Female labour lost opportunities in the labour market this has adverse impact on family consumption. The study is directed to investigate the impact of female labour saving shift in cropping on female labour force participation and the resultant change in household consumption pattern the specific objectives this study are impact of change in the cropping pattern on employment, change female employment, family consumption pattern and changing situations of womenlabour in agriculture sector.

Socio-Economic Issues and Sustainable Fishery Management .A Case Study of Kerala

Department of Applied Economics, Cochin University of Science and Technology.

Sustainability and Livelihood Issues of Vembanad Ecosystem Fisherfolk Communities

Dept.of Applied Economics,Cochin University of Science and Technology

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