Nanonetwork Minimum Energy coding

Abstract-Nanotechnology is generally considered a technology of the future. It promises to have many implications in various fields, and create revolutionary methods in some circumstances. Due to their size, nanodevices have limited capacities in terms of energy, computation and transmission among others. Networking them allows to increase their effectiveness, and also their communication range. However, data transmission consumes power, which is very precious in such devices. As such, communication between nanodevices in the Terahertz band have been investigated using low-power Time Spread-On Off Keying (TS-OOK) modulation. A characteristic of this modulation is that energy is required only for transmitting bit 1, since bit 0 is "transmitted" as silence (no energy). We exploit this property in the Nanonetwork Minimum Energy coding we propose in this paper. This coding reduces the number of 1s in data transmitted by source by encoding more often used symbols with fewer 1s. As such, it yields energy efficiency, but also reduces absorption noise and interference between devices, and increases information capacity. Results of this algorithm with various types of real files show notable improvements. It is able to reduce the energy up to 100%, depending on probabilities of 0 and 1 in input data

Nanonetwork Minimum Energy coding

International audienceNanotechnology is generally considered a technology of the future. It promises to have many implications in various fields, and create revolutionary methods in some circumstances. Due to their size, nanodevices have limited capacities in terms of energy, computation and transmission among others. Networking them allows to increase their effectiveness, and also their communication range. However, data transmission consumes power, which is very precious in such devices. As such, communication between nanodevices in the Terahertz band have been investigated using low-power Time Spread-On Off Keying (TS-OOK) modulation. A characteristic of this modulation is that energy is required only for transmitting bit 1, since bit 0 is "transmitted" as silence (no energy). We exploit this property in the Nanonetwork Minimum Energy coding we propose in this paper. This coding reduces the number of 1s in data transmitted by source by encoding more often used symbols with fewer 1s. As such, it yields energy efficiency, but also reduces absorption noise and interference between devices, and increases information capacity. Results of this algorithm with various types of real files show notable improvements. It is able to reduce the energy up to 100%, depending on probabilities of 0 and 1 in input data