The hybrid mobile wireless sensor networks for data gathering

Ren, Biao; Ma, Jian; Chen, Canfeng

doi:10.1145/1143549.1143766

Cited by 31 publications

(14 citation statements)

References 8 publications

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“…The latter two solutions require the enumeration of all possible v s sink placements, and are therefore viable only when the number of sinks is very limited. Ren et al [8] investigate the impact of multiple mobile sinks on end-to-end packet delay and energy consumption. They consider trade offs for optimizing both.…”

Section: Related Workmentioning

confidence: 99%

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Coordinated and controlled mobility of multiple sinks for maximizing the lifetime of wireless sensor networks

et al. 2011

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We define scalable models and distributed heuristics for the concurrent and coordinated movement of multiple sinks in a wireless sensor network, a case that presents significant challenges compared to the widely investigated case of a single mobile sink. Our objective is that of maximizing the network lifetime defined as the time from the start of network operations till the failure of the first node. We contribute to this problem providing three new results. We first define a linear program (LP) whose solution provides a provable upper bound on the maximum lifetime possible for any given number of sinks. We then develop a centralized heuristic that runs in polynomial time given the solution to the LP. We also define a deployable distributed heuristic for coordinating the motion of multiple sinks through the network. We demonstrate the performance of the proposed heuristics via ns2-based simulations. The observed results show that our distributed heuristic achieves network lifetimes that are remarkably close to the optimum ones, resulting also in significant improvements over the cases of deploying the sinks statically, of random sink mobility and of heuristics previously proposed for restricted sink movements

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Section: Related Workmentioning

confidence: 99%

“…They are resource-rich devices, and we assume that sinks can communicate among themselves through high-data rate reliable communications. We vary the number of sinks in the range [2,8]. Protocol related parameters are configured as follows.…”

Section: Performance Evaluationmentioning

confidence: 99%

Coordinated and controlled mobility of multiple sinks for maximizing the lifetime of wireless sensor networks

et al. 2011

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“…The exploitation of random waypoint model to describe sensor nodes mobility in this paper is similar to model used in [65,66]. Each mobile node picks its direction at random from (0, 2π] and moves in that direction from its current position to a new position for a distance d with a speed v between [Vmin, Vmax], where d is exponentially distributed.…”

Section: Mobility Of Sensor Nodesmentioning

confidence: 99%

Cluster Based Routing Protocol for Mobile Nodes in Wireless Sensor Network

Awwad

Noordin

et al. 2010

Wireless Pers Commun

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Mobility of sensor nodes in wireless sensor network (WSN) has posed new challenges particularly in packet delivery ratio and energy consumption. Some real applications impose combined environments of fixed and mobile sensor nodes in the same network, while others demand a complete mobile sensors environment. Packet loss that occurs due to mobility of the sensor nodes is one of the main challenges which comes in parallel with energy consumption. In this paper, we use cross layer design between medium access control (MAC) and network layers to overcome these challenges. Thus, a cluster based routing protocol for mobile sensor nodes (CBR-Mobile) is proposed. The CBR-Mobile is mobility and traffic adaptive protocol. The timeslots assigned to the mobile sensor nodes that had moved out of the cluster or have not data to send will be reassigned to incoming sensor nodes within the cluster region. The protocol introduces two simple databases to achieve the mobility and traffic adaptively. The proposed protocol sends data to cluster heads in an efficient manner based on received signal strength. In CBR-Mobile protocol, cluster based routing collaborates with hybrid MAC protocol to support mobility of sensor nodes. Schedule timeslots are used to send the data message while the contention timeslots are used to send join registration messages. The performance of proposed CBR-Mobile protocol is evaluated using MATLAB and was observed that the proposed protocol improves the packet delivery ratio, energy consumption, delay and fairness in mobility environment compared to LEACH-Mobile and AODV protocols.

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“…Mobility based data collection can be classified primarily as • Random mobility • Predictable mobility • Controlled mobility. In random mobility [10,3], "data mules" that move randomly collect data e.g. humans, animals.…”

Section: Sensor Data Collection -An Overviewmentioning

confidence: 99%

Cost Efficient Data Collection of Sensory Originated Data using Context-Aware Mobile Devices

Jayaraman

Zaslavsky

Delsing

2008

2008 Ninth International Conference on Mobile Data Management Workshops, MDMW

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Abstract-Sensory originated data collection and processing has always been a big challenge in wireless sensor networks (WSN). WSN represent a distributed producer of large amount of valuable data required by varied number of applications. In this paper we propose the use of context aware data mules (CADAMULE) as a solution for smart data collection within sensor networks. We present an extension to Context Spaces modelling theory by incorporating context discovery at runtime. This facilitates our system to discover new context attributes by looking into previous situations and events when pre-defined context is not sufficient for the reasoning process. We use this model as a base to provide contextual information to the mobile data mule whose spare capacity for communication and processing can be used to collect and process sensor data. The focus of the paper is to propose and evaluate a cost-efficient data collection technique which uses a cost formula computed from the context information obtained by the system. We validate our system by a simulation in which we try to reason out and identify the best and also the most cost efficient data mule. The context aware data mule negotiates with the sensor node collecting and delivering the data to the sink.

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The hybrid mobile wireless sensor networks for data gathering

Cited by 31 publications

References 8 publications

Coordinated and controlled mobility of multiple sinks for maximizing the lifetime of wireless sensor networks

Coordinated and controlled mobility of multiple sinks for maximizing the lifetime of wireless sensor networks

Cluster Based Routing Protocol for Mobile Nodes in Wireless Sensor Network

Cost Efficient Data Collection of Sensory Originated Data using Context-Aware Mobile Devices

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