Energy efficiency in machine to machine communication based on rich presence information

Komunikacija strojeva dio je šireg spektra Internet of Things i očekuje se spajanje 50 milijardi uređaja do 2020. godine, što vodi do povećanja količine podataka u komunikaciji. Aplikacije M2M koriste se u proizvodnji, sigurnosti, zdravstvu, logistici i drugim vertikalama. Izazov kod komunikacije strojeva je racionalna potrošnja energije jer velik broj umreženih uređaja na raspolaganju ima ograničene količine električne energije. Rad predlaže model koji povećava energetsku učinkovitost sustava prelascima uređaja u neaktivna stanja. Prelazak u neaktivna stanja omogućen je korištenjem informacija o prisutnosti uređaja koje se šalju ostalim entitetima u komunikaciji. Provedena su mjerenja potrošnje energije u različitim stanjima uređaja Waspmote. Rezultati mjerenja korišteni su za izračun potrošnje energije u periodu neaktivnosti uređaja s obzirom na stanje u kojem se uređaj nalazi. Najbolji scenarij je odlazak u stanje hibernacije u periodu neaktivnosti te uključivanje komunikacije samo prije slanja i primanja podataka. Nakon usporedbe rezultata, na uređajima Waspmote implementiran je model sa scenarijem najmanje potrošnje energije.Machine to Machine is part of a broader spectrum of Internet of Things and is expected to connect 50 billion devices by 2020. M2M applications are used in many verticals as manufacturing, security, healthcare, retail, transport and logistics. The challenge in M2M communication is rational energy consumption because big part of networked devices has limited amount of electricity. This thesis proposes a model for increasing energy efficiency by turning off communication on devices and sending them to inactive state for some period of time. The transition to inactive state is enabled by machine’s presence information that is sent to other entities in communication. Energy consumption in different states of Waspmote devices was measured. The measurement results were used to calculate the energy consumption during the period of inactivity of devices in different state scenarios. The best scenario for inactivity period is hibernate mode, and communication needs to be turned off except when sending and receiving data. After comparing the results, the scenario with least energy consumption was implemented on Waspmote devices