PIGGYBACK CROWDSENSING: NOVEL APPROACH FOR COLLECTING SENSED DATA

Pranjal Naringrekar, Nisha Chawda, Swapna Naik

Abstract: This paper proposes a task allocation framework called icrowd also known as crowdtasker for mobile crowdsensing using energy efficient piggyback crowdsensing. This task uses sensor readings taken from participants of each area which is further divided into sub-areas by the organizer. Crowdtasker will predict the call and the location of mobile users and set the users according to required goals. The piggyback crowdsensing uses the sensing cycles for collection of data. The users used in sensing tasks are divided into two types that is data plan users and non-data plan users. The data plan users use 3G calls while non-data plan users use Bluetooth gateway for uploading the sensed data.

Keywords: Mobile Crowdsensing, Task Allocation, Data Uploading, Sensing Cycles

DOI: https://doi.org/10.15623/ijret.2018.0708005