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Author Feng, Yong ♦ Liu, Ming ♦ Wang, Xiaomin ♦ Gong, Haigang
Source World Health Organization (WHO)-Global Index Medicus
Content type Text
Publisher Multidisciplinary Digital Publishing Institute
File Format HTM / HTML
Language English
Difficulty Level Medium
Subject Domain (in DDC) Computer science, information & general works ♦ Library & information sciences ♦ Natural sciences & mathematics ♦ Mathematics ♦ Life sciences; biology ♦ Physiology & related subjects ♦ Technology ♦ Medicine & health ♦ Human physiology
Subject Domain (in MeSH) Physical Phenomena ♦ Mathematical Concepts ♦ Biological Sciences ♦ Information Science ♦ Information Science
Subject Keyword Discipline Biotechnology ♦ Computer Communication Networks ♦ Wireless Technology ♦ Algorithms ♦ Computer Simulation ♦ Time Factors ♦ Journal Article ♦ Research Support, Non-u.s. Gov't
Abstract It is a challenging work to develop efficient routing protocols for Delay Tolerant Mobile Sensor Networks (DTMSNs), which have several unique characteristics such as sensor mobility, intermittent connectivity, energy limit, and delay tolerability. In this paper, we propose a new routing protocol called Minimum Expected Delay-based Routing (MEDR) tailored for DTMSNs. MEDR achieves a good routing performance by finding and using the connected paths formed dynamically by mobile sensors. In MEDR, each sensor maintains two important parameters: Minimum Expected Delay (MED) and its expiration time. According to MED, messages will be delivered to the sensor that has at least a connected path with their hosting nodes, and has the shortest expected delay to communication directly with the sink node. Because of the changing network topology, the path is fragile and volatile, so we use the expiration time of MED to indicate the valid time of the path, and avoid wrong transmissions. Simulation results show that the proposed MEDR achieves a higher message delivery ratio with lower transmission overhead and data delivery delay than other DTMSN routing approaches.
Description Country affiliation: China
Author Affiliation: Feng Y ( School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Reading ♦ Research ♦ Self Learning
Interactivity Type Expositive
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2010-01-01
Publisher Place Switzerland
e-ISSN 14248220
Journal Sensors
Volume Number 10
Issue Number 9

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Source: WHO-Global Index Medicus