An Energy-Efficient Model for Opportunistic Data Collection in IoV-Enabled SC Waste Management

Author:

Ijemaru Gerald K.1ORCID,Ngharamike Ericmoore T.2,Oleka Emmanuel U.3,Nwajana Augustine O.4ORCID

Affiliation:

1. University of the Sunshine Coast, Australia

2. Federal University Oye-Ekiti, Nigeria

3. North Carolina A&T State University, USA

4. University of Greenwich, UK

Abstract

Recent advancements in technological research have seen the use of mobile data collectors (MDCs) or data MULEs for wireless sensor network (WSN) applications. In the context of smart city (SC) waste management scenarios, vehicular networks or the internet of Vehicles (IoV) can be exploited as MDCs or data MULEs for data collection and transmission purposes from the sparsely distributed smart sensors that are attached to the smart bins to an access point or sink node and further deployed for waste management operations. A major challenge with the traditional methods of data collection using static sink nodes is the high energy consumption of the sensor-nodes. The use of MDCs has been well studied and shown to be energy efficient. To the best of the authors' knowledge, this scheme has not been exploited for waste management operations in a SC. Compared to the centralized schemes, the data MULE scheme presents several advantages for data collection in WSN applications. This chapter proposes an energy-efficient model for opportunistic data collection in IoV-enabled SC waste management operations.

Publisher

IGI Global

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