Vid arbete i vidare sammanhang så hade det varit intressant att se vilka typer av tjänster som skulle kunna utvecklas beroende på olika anonymitetsnivåer.
Att undersöka och implementera en säker databas för datainsamling hade också kunnat vara en intressant frågeställning, där frågeställningarna hade varit att hur mycket data går att lagra för att inte kunna hitta olika mönster men samtidigt lagra användbar data. Software Defined Radio (SDR) hade varit intressant för att samla in data. SDR gör det möjligt att bevaka olika typer av signaler. SDR fungerar att köra på allt från vanliga datorer till mindre kraftfulla inbyggda system. Det hade därför varit intressant att testa möjligheterna om vad som går att samla in. Dock med SDR måste det finnas en analys av vilka datapaket det är som skickas, så det går att sortera ut paket från mobila enheter som bärs av individer från datapaket som är irrelevanta (till exempel datatrafik från flygplan).
En annan intressant problemställning är att hur ett det skulle vara att samla in data från en större plats genom att ha flera insamlingsenheter. Genom att ha flera insamlingsenheter så är det möjligt att se åt vilken riktning samt hastighet som individerna rör sig. Som till exempel BLIP Systems A/S (se kapitel 1.5) fast i detta fall så blir det med individer istället för bilar.
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Bilagor
A
Avnämare
A.1 Internet of Things and People
IOTAP är ett forskningscenter som drivs av Malmö högskola. IOTAPs fokus ligger på forskning kring hur användare kan interagera med anslutna enheter, hur användare kan bli involverade i IoT tjänster och produkter samt hur intelligens i enheter kan öka använ- dandet och funktionaliteten för IoT-tjänster och produkter [50].