Layered data aggregation in cell-phone based wireless sensor networks

Chander, Deepthi; Jagyasi, Bhushan G.; Desai, U.B.; Merchant, S. N.

doi:10.1109/ictel.2008.4652673

Cited by 7 publications

(5 citation statements)

References 14 publications

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“…Authors of [6] propose singlehop and multihop sensor data aggregation protocol using layering architecture for cell phone based sensor networks with Random Way Point (RWP) mobility model. Authors of [9] propose modified random walk mobility model based shortest job first scheduling algorithm for tasking and uploading mobile node data.…”

Section: Related Workmentioning

confidence: 99%

Duration of stay based weighted scheduling framework for mobile phone sensor data collection in opportunistic crowd sensing

Thejaswini

Rajalakshmi

Desai

2015

Peer-to-Peer Netw. Appl.

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Advancement of mobile phone based new sensing paradigm like opportunistic and participatory crowd sensing has lead to increase in both multimedia and scalar sensor data traffic over wireless networks. In opportunistic crowd sensing, there are more chances of missing required mobile phones sensor data due to unpredictable mobility nature of users. Analysis of scheduling schemes under realistic human mobility models has become an important issue for pervasive sensing applications specifically for mobile phone based crowd sensing. This paper refers to a weighted scheduling framework for collecting mobile phone sensor data under Levy Walk mobility model. The proposed method uses duration of stay of mobile phone users as one of the important parameter to improve the scheduling performance in terms of reducing the rate of missing of mobile nodes and thereby increasing the rate of collection of required sensor data. The simulation results show that for improving the scheduling performance in opportunistic crowd sensing, high weight value should be given for duration of stay parameter, when mobile nodes stay within Thejaswini M cs10p003@iith.ac.in P. Rajalakshmi raji@iith.ac.in the data collection region for more than schedule iteration time with high probability.

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Section: Related Workmentioning

confidence: 99%

Duration of stay based weighted scheduling framework for mobile phone sensor data collection in opportunistic crowd sensing

Thejaswini

Rajalakshmi

Desai

2015

Peer-to-Peer Netw. Appl.

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“…In our work we consider a community scale environmental monitoring application where [3][12] [15]. SCSN scenario consists of mobile hosts having the capability to communicate directly with another mobile host in their vicinity and forwarding sensed data packets.…”

Section: Introductionmentioning

confidence: 99%

A Realistic Weighted Clustering algorithm for data gathering in single hop cell phone based sensor network

Shah

Tamhankar

Merchant

et al. 2011

2011 IEEE GLOBECOM Workshops (GC Wkshps)

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We present Weight based Realistic Clustering algorithm (WRCA) for energy efficient data collection from human based wireless network such as cell phone based sensor network. The WRCA creates better load balanced and stable clusters for data gathering in a realistic human mobility scenario as compared to WCA algorithm of mobile adhoc networks. Traditional way of stable clustering used to select stable Cluster Heads (CHs) based on instantaneous mobility criteria. While our algorithm incorporate only a pause time weighting parameter to leverage pause time distribution of human mobility for selection of more stable CHs. Load balancing aspect of WRCA tackles realistic scenario of inhomogeneous node distribution. Improvement in load balancing with WRCA assure better aggregation of sensor data and MAC layer performance. This is accomplished by incorporating a density center weighting parameter. This information is used to select density centered CHs. WRCA requires fewer messages to find density centered nodes as compared to TASC. Simulation results demonstrate the overall superiority in performance of the WRCA when mobility according to a realistic mobility model called Self similar Least Action Walk (SLAW) is considered. Simulation result shows that our proposed algorithm consumes 20% less energy and 50% more network lifetime as compared to WCA algorithm.

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“…Authors of [42] have used a layered approach for data monitoring application in multihop cell-phone based Sensor Network (MSCN). We propose a cluster-based data-gathering protocol for MCSN and Single-hop Cellphone-based Sensor Network (SCSN) [43,44], where the data gathering schemes are designed for nondelay tolerant monitoring application.…”

Section: Related Workmentioning

confidence: 99%

Human-Mobility-Based Sensor Context-Aware Routing Protocol for Delay-Tolerant Data Gathering in Multi-Sink Cell-Phone-Based Sensor Networks

Shah

Merchant

Desai

2012

International Journal of Distributed Sensor Networks

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Ubiquitous use of cell phones encourages development of novel applications with sensors embedded in cell phones. The collection of information generated by these devices is a challenging task considering volatile topologies and energy-based scarce resources. Further, the data delivery to the sink is delay tolerant. Mobility of cell phones is opportunistically exploited for forwarding sensor generated data towards the sink. Human mobility model shows truncated power law distribution of flight length, pause time, and intercontact time. The power law behavior of inter-contact time often discourages routing of data using naive forwarding schemes. This work exploits the flight length and the pause time distributions of human mobility to design a better and efficient routing strategy. We propose a Human-Mobility-based Sensor Context-Aware Routing protocol (HMSCAR), which exploits human mobility patterns to smartly forward data towards the sink basically comprised of wi-fi hot spots or cellular base stations. The simulation results show that HMSCAR significantly outperforms the SCAR, SFR, and GRAD-MOB on the aspects of delivery ratio and time delay. A multi-sink scenario and single-copy replication scheme is assumed.

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Layered data aggregation in cell-phone based wireless sensor networks

Abstract: Abstract

Cited by 7 publications

References 14 publications

Duration of stay based weighted scheduling framework for mobile phone sensor data collection in opportunistic crowd sensing

Duration of stay based weighted scheduling framework for mobile phone sensor data collection in opportunistic crowd sensing

A Realistic Weighted Clustering algorithm for data gathering in single hop cell phone based sensor network

Human-Mobility-Based Sensor Context-Aware Routing Protocol for Delay-Tolerant Data Gathering in Multi-Sink Cell-Phone-Based Sensor Networks

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