Wireless Mesh Network is one of the budding technologies in wireless networks. Routing in WMN is complicated and unpredictable than wired network, due to unstable link states and interference between neighbor routers. Since WMN is supporting hybrid architecture, a primitive metric like hop count is not efficient to route the information in the network. The Expected Transmission count (ETX) is radio based metric and it reveals the link conditions in the form of delay, loss of packets and bandwidth etc. It uses cross layer approach to direct the data by considering asymmetric nature of wireless links in WMN and captures the link state through the number of retransmissions. Thus ETX forwards the data based on link quality (or state) and provides effective communication between routers. Hybrid Wireless Mesh Protocol (HWMP) is based on IEEE 802.11s and it is prominent protocol for hybrid WMN. The authors aspire to provide effective communication in WMN using link state based metric ETX. This paper discusses about the HWMP with ETX (HWMP-ETX) and analyses the performance of WMN using end-to-end delay and goodput parameters. The results show that considerable improvement exists in all the above mentioned parameters by using HWMP-ETX than HWMP with hop count.
Algorithms are the foundation of Computer Science and Engineering, which instruct the computer to do the required task efficiently. Design and Analysis of Algorithms (DAA) course is aimed to develop problem solving skills, choose appropriate design strategy and analyze given algorithm for its performance in the student community. In this paper authors propose active learning methodologies like Manifold Problem Assignment, Inspection of Algorithms, Technique Based Learning, Identification and Designing Method and Realization of Algorithm to meet above mentioned objectives. Since the course is taught along with tutorial, different set of problems are given across the batches to develop and analyze an algorithm by choosing appropriate design technique. Tests are conducted on each design strategy, which helped the students to apply them to the design process. At the end of the semester students are given set of problems, where they are expected to choose suitable design strategy like divide and conquer, decrease and conquer and transform and conquer to write and analyze the algorithm. Through this pedagogical activity, the Program Outcomes 3a and 3c of ABET 3a-3k are achieved. 70% of learners strongly agreed that their problem solving ability is enhanced and 30% of learners agreed that there is an improvement in algorithm design ability.
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