We describe a new approach to power saving and battery life extension on an untethered laptop through wireless remote processing of power-costly tasks. We ran a series of experiments comparing the power consumption of processes run locally with that of the same processes run remotely. We examined the trade-off between communication power expenditures and the power cost of local processing. This paper describes our methodology and results of our experiments. We suggest ways to further improve this approach, and outline a software design to support remote process execution.

This paper presents a novel "location management technique", HOPPER, that is designed to support in a scalable and efficient manner non-geographical (lifelong) personal numbers in Personal Communications Services (PCS). Performance comparisons between our scheme and previous schemes are derived from large scale simulations using a realistic traffic modeling framework for the ten largest cities of the United States. Results show that, in addition to inherently providing non-geographical numbers, the proposed scheme significantly improves lookup performance and requires relatively little database access and network signaling resources.

The goal of any strategy used to share a communication link is to provide a maximally reliable channel for the greatest possible number of users. It is of particular interest to have an efficient method of resource sharing for one-way communication channels. This paper concerns an application in which a large population of users transmits on a common radio channel to a single central receiver. The channel provides for no return path indicating successful reception. Each user makes an initial transmission, and then the message is repeated some number of times. A technique with retransmissions that increases the probability of successful one-way message transmission is proposed, its theory is formulated, and the results are analyzed and discussed. This technique presents a method for achieving certain throughput on a one-way packet transmission channel with anticipated traffic loading by trading off between various channel parameters. In addition, a computer simulation is performed verifying the developed channel model, and its confidence intervals are determined.

Power management is an important aspect of mobile computing. Previous works on power conservation have concentrated on the hardware approach. In this paper, we propose a different approach of power conservation strategy for mobile computers which is based on the concept of load sharing. User jobs are transferred from a mobile host to a fixed host to reduce power consumption by the CPU. Simulation results show that under suitable conditions, transferring job can extend battery lifetime by up to 20%. Transferring jobs to a fixed host does not only extend battery lifetime but also gives users access to faster machines, hence improving job response time.