Automakers are trying to make vehicles more intelligent and safe by embedding processors which can be used to implement ldquoby-wirerdquo applications for taking smart decisions on the road or assisting the driver in doing the same. Given this proliferation, there is a need to minimize the computing power required without affecting the performance and safety of the applications. The latter is especially important since these by-wire applications are distributed and real-time in nature and involve deadline bound computations on critical data gathered from the environment. These applications have stringent requirements on the freshness of data items and completion time of the tasks. Our work studies one such safety-related automotive application namely, automatic merge control (AMC) which ensures safe vehicle maneuver in the region where two or more roads intersect.As our contributions, we (i) propose two merge algorithms for amc: head of the lane (HoL) and all feasible sequences (AFS) (ii) demonstrate how DSRC-based wireless communication protocol can be leveraged for the development of AMC (iii) present a real-time approach towards designing AMC by integrating mode-change and real-time repository concepts for reducing the processing power requirements and (iv) provide a scheduling strategy to meet AMC taskspsila timing requirements. Simulations and implementation on robotic vehicular platforms demonstrate the advantages of using our approach for constructing merge-by-wire systems.

Dynamic bandwidth allocation for upstream transmission in EPONs has gathered significant attention. Maximizing utilization is inversely related to dynamic bandwidth allocation. We propose an auctioning mechanism for bandwidth allocation with a view to dissolution of the paradox between efficiency (utilization) and dynamism. While conventional bandwidth auctioning schemes pose efficiency as well as fairness issues, our extensions overcome these. We propose three extensions: to increase efficiency we propose a K- out-of-N auctioning mechanism; to promote dynamism and reduce bandwidth starvation, we enhance the auctioning mechanism by introducing strategic scaling; and to cater to services we propose a bid computation mechanism that is uniquely tailored to reflect different service requirements. Through a simulation model we evaluate the performance of our scheme for latency, dynamism, efficiency and blocking probability.