Yahya Al Sawafi, Abderezak Touzene, Khaled Day and Nasser Alzeidi
Department of Computer Science, Sultan Qaboos University, Muscat, Oman
Yahya Al Sawafi, Abderezak Touzene, Khaled Day and Nasser Alzeidi
Department of Computer Science, Sultan Qaboos University, Muscat, Oman
Department of Computer Science, Sultan Qaboos University, Muscat, Oman
Abstract
Recently, Mobile Crowd Sensing (MCS) has been used in many smart city monitoring applications,
leveraging the latest smartphone features of sensing and networking. However, most of these applications
use a direct internet connection for sending the collected data to the server through a 3G or 4G (LTE)
network.This type of communication leads to higher bandwidth, battery consumption, and higher data plan
cost. In this paper, we presenta new ad-hoc tree-based routing protocol named MCS-RPL based on theIoT
RPL protocol for the smart city context. The proposed protocol aims to utilize smartphone and Mobile
CrowdSensing (MCS) opportunistically to support static Wireless Sensor Network (WSN) and to cover
more sensing areas with less routing overhead and power consumption. MCS-RPL usesa grid-based cluster
head to address mobility issues and reduce control packets. The conducted performance evaluation reveals
that the proposed protocol outperforms RPL in terms of packet delivery ratio and power consumption due
to control packet overhead reduction, which reached more than 75% in the tested scenarios
Recently, Mobile Crowd Sensing (MCS) has been used in many smart city monitoring applications,
leveraging the latest smartphone features of sensing and networking. However, most of these applications
use a direct internet connection for sending the collected data to the server through a 3G or 4G (LTE)
network.This type of communication leads to higher bandwidth, battery consumption, and higher data plan
cost. In this paper, we presenta new ad-hoc tree-based routing protocol named MCS-RPL based on theIoT
RPL protocol for the smart city context. The proposed protocol aims to utilize smartphone and Mobile
CrowdSensing (MCS) opportunistically to support static Wireless Sensor Network (WSN) and to cover
more sensing areas with less routing overhead and power consumption. MCS-RPL usesa grid-based cluster
head to address mobility issues and reduce control packets. The conducted performance evaluation reveals
that the proposed protocol outperforms RPL in terms of packet delivery ratio and power consumption due
to control packet overhead reduction, which reached more than 75% in the tested scenarios
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