Performance Evaluation of AODV, DSR, DYMO & ZRP in Cost 231 Walfisch-Ikegami Path Loss Propagation Model

A Mobile Ad hoc NETwork is a kind of wireless ad-hoc network, and is a self configuring network of mobile routers connected by wireless links. Mobile Ad-Hoc Network (MANET) is a wireless network without infrastructure. Self configurability and easy deployment feature of the MANET resulted in numerous applications in this modern era. Efficient routing protocols will make MANETs reliable. Various research communities are working in field of MANET and trying to adopt the protocols and technology in other applications as well. In this work, we present investigations on the behavior of various routing protocol of MANET with a Cost 231 Walfisch-Ikegami Propagation Model. We evaluate the performance of four different ad-hoc routing protocols on four performance metrics such as Average Jitter, Average End-to-End Delay, Throughput, and Packet Delivery Fraction with varying Pause Time. From the simulation results it is concluded that DSR is better in transmission of packets per unit time and maximum number of packets reached their destination successfully with some delays, i.e. PDF & Throughput is more and Average jitter & end-to-end delay is less. Whereas AODV & ZRP having almost same values in all of the performance metrics, they transmit packets with very less delay but transmits less packets to their destination as compare to DSR.

A Low Complexity Algorithm and Architecture for Systematic Encoding of Hermitian Codes

We present an algorithm for systematic encoding of Hermitian codes. For a Hermitian code defined over GF(q^2), the proposed algorithm achieves a run time complexity of O(q^2) and is suitable for VLSI implementation. The encoder architecture uses as main blocks q varying-rate Reed-Solomon encoders and achieves a space complexity of O(q^2) in terms of finite field multipliers and memory elements.Comment: 5 Pages, Accepted in IEEE International Symposium on Information Theory ISIT 200

Ontology based approach for video transmission over the network

With the increase in the bandwidth & the transmission speed over the internet, transmission of multimedia objects like video, audio, images has become an easier work. In this paper we provide an approach that can be useful for transmission of video objects over the internet without much fuzz. The approach provides a ontology based framework that is used to establish an automatic deployment of video transmission system. Further the video is compressed using the structural flow mechanism that uses the wavelet principle for compression of video frames. Finally the video transmission algorithm known as RRDBFSF algorithm is provided that makes use of the concept of restrictive flooding to avoid redundancy thereby increasing the efficiency.Comment: 7 pages, 2 figures, 4 table

Developing Demand-Response Based Solutions for Hawaii’s 100% Renewable Energy Target

The State of Hawaii has set a target to achieve a 100% Renewables by 2045. Due to the State’s high electricity prices and dependence on imported oil, renewables are seen as an environmental and economic solution to the problem. While the state has seen substantial renewables growth in the last few years, a truly transformative system is needed to push for a fully renewable future. This system would be likely to include Demand Response (DR) capability, Distributed Energy Resources and the like. This report models various different scenarios – different rate schedules, energy storage and energy production technologies – to determine which combination can deliver the most economic value. Time-of-Use and Flat Rate Schedules form the basis of the analysis, along with solar self-supply and solar export options for customers that would like rooftop PV. The average Hawaiian Resident’s load and solar production profiles are constructed – and along with the financial incentives of various schedules and DR programs – the optimum solution was determined. For Time-of-Use (TOU) Schedules, customers derived maximum economic value from utilizing storage to arbitrage consumption across different time periods. By shifting consumption, customers were able to achieve payback periods of under two years, and significant bill savings. While adding solar panels to their roofs also created a viable economic case – the TOU rate structure often conflicted with solar production, leading to a less-than-optimal result. For Flat Rate Schedules on the other hand, customers derived maximum economic value from employing solar PV systems (without storage) and exporting excess solar to the grid. Without the battery, the upfront costs of the system were much lower than other options and coupled with a decent export credit rate – the customers were able to attain payback periods under four years. The report concludes that while these two options would be beneficial to customers, there is significant room for further exploration. This could include redesigning or refining the TOU Schedule and modeling various system size combinations. Ultimately, designing a 21st-century renewable system would require going beyond optimizing for a single customer but also modeling the grid impacts of choices different customers could make. Hence, this report serves as a stepping stone to a larger exploration of the grid of the future

Coverage and Connectivity Issue in Wireless Sensor Networks

Wireless sensor networks (WSNs) are an emerging area of interest in research and development. It finds use in military surveillance, health care, environmental monitoring, forest fire detection and smart environments. An important research issue in WSNs is the coverage since cost, area and lifetime are directly validated to it.In this paper we present an overview of WSNs and try to refine the coverage and connectivity issues in wireless sensor networks

The Wealth Effects of the 2010-2011 Arab Uprisings: A Market Model Event Study

Previous empirical analyses have concluded that political events can have significant linkages with stock returns. Using Brown & Warner’s (1984) OLS market model, I examine the effect of political disruptions in the 2010-2011 Arab uprisings on major stock indices of Egypt, Tunisia, Jordan, Lebanon, Saudi Arabia, Dubai and London. My analysis finds mostly negative abnormal returns, highly statistically significant relative to the S&P 500, associated with many key events between December 1st, 2010 and December 1st, 2011. My findings suggest that the loss of investor wealth can be attributed to dramatic regime changes and large scale protests during that time period