Energy Trade-off Between Computing and Communication Resource in Multimedia Surveillance Sensor Network

Abstract— In recent years, advances in microelectronics have al- lowed the development of low-power, low-cost, and small devices with sensing, computing, and wireless communication capabilities. An important criterion on the design and operation of these devices is their energy consumptions. Two factors that affect the energy con- sumption of the sensor network are computation and communica- tion. The simple strategy of locally processing the acquired data and to transmit them, is not optimal from the energy consumption point of view, relative to other strategies based on distributed pro- cessing and successive transmission of partially processed data. In this paper, we analyze the energy tradeoff between computation and communication resources in order to minimize the total energy con- sumption. We propose a heuristic solution to the stated sensor net- work problem for a multimedia application using Strong Arm RISC processors [3] to perform certain data compression algorithm.