Abstract

Routing in delay tolerant mobile sensor networks (DTMSNs) is challenging due to the networks’ intermittent connectivity. Most existing routing protocols for DTMSNs use simplistic random mobility models for algorithm design and performance evaluation. In the real world, however, due to the unique characteristics of human mobility, currently existing random mobility models may not work well in environments where mobile sensor units are carried (such as DTMSNs). Taking a person’s social activities into consideration, in this paper, we seek to improve DTMSN routing in terms of social structure and propose an agenda based routing protocol (ARP). In ARP, humans are classified based on their agendas and data transmission is made according to sensor nodes’ transmission rankings. The effectiveness of ARP is demonstrated through comprehensive simulation studies.

Highlights

  • Advances in wireless communications and integrated circuits have enabled the development of small, smart and inexpensive wireless sensor devices

  • Intermittent connectivity is a key characteristic of delay tolerant mobile sensor networks (DTMSNs) [1,2] while the network formed by mobile devices is one popular communication paradigm of DTMSNs

  • Most DTMSN routing protocols use simplistic random models for system design and evaluation, while these random models cannot reflect the real characteristics of human mobility

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Summary

Introduction

Advances in wireless communications and integrated circuits have enabled the development of small, smart and inexpensive wireless sensor devices. Sensors in the network collaborate with each other to collect the target data information and transmit them to the sink nodes [3] Such approaches, may not work effectively in DTMSNs due to intermittent network connectivity and sensor node mobility. In ARP, humans are ranked based on their popularity and routing decisions are made according to two key variables, which are transmission rankings and communication probabilities of sensor nodes, respectively. Simulation results show that ARP achieves a relatively longer network lifetime and higher message delivery ratio with lower transmission overhead and data delivery delay than both flooding and LABEL schemes.

Related Work
Network Model
Problem Statement
Data Transmission
Queue Management
Message’s Survival Time
Message’s Priority
The Implementation of the Queue Management Scheme
Simulation Environment
The Geographic Locations of Nodes at Different Time
Performance Comparison
Impact of Varying Sensor Node Density
Impact of Varying Queue Length
Impact of Varying the Number of Sink Nodes
Network Life Analysis
Conclusions
Full Text
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