Joint routing and navigation protocols for data harvesting in sensor networks

Rao, Jayanthi; Biswas, Subir

doi:10.1109/mahss.2008.4660041

Cited by 37 publications

(28 citation statements)

References 9 publications

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“…For WSNs with controllable trajectories, most existing approaches focus on how to design the optimal trajectory of the mobile sink to improve the network performance [23,9,12,24,3]. In [25], Zhao et al consider mobility control and develop the algorithms that generate ferry routes that meet traffic demand and minimize weighted packet delay.…”

Section: Wsns With Mobile Sinksmentioning

confidence: 99%

Energy-efficient topology control algorithm for maximizing network lifetime in wireless sensor networks with mobile sink

Zhao

Guo

Wang

et al. 2015

Applied Soft Computing

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Section: Wsns With Mobile Sinksmentioning

confidence: 99%

Energy-efficient topology control algorithm for maximizing network lifetime in wireless sensor networks with mobile sink

Zhao

Guo

Wang

et al. 2015

Applied Soft Computing

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“…In our paper, we assume there is no data aggregation on any sensor in the network. In [5], the k multi-hop data routing is considered, where k is a tunable parameter. By adjusting k, the desirable balance between energy efficiency and data delivery delay can be achieved.…”

Section: Related Workmentioning

confidence: 99%

“…Such unbalanced energy consumption among sensors will compromise the network lifetime and data delivery reliability. Recent studies have explored the use multiple sinks or mobile element(s) to address this problem and proven its effectiveness [7], [1], [5], [3]. Mobile element(s) shifts the data relay workload from individual sensors to itself(themselves) by collecting data directly from each sensor when it is moving within the sensor's transmission range.…”

Section: Introductionmentioning

confidence: 99%

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Data quality maximization in sensor networks with a mobile sink

Liang

Wark

2011

2011 International Conference on Distributed Computing in Sensor Systems and Workshops (DCOSS)

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Abstract-In this paper we consider a wireless sensor network with a mobile sink moving along a fixed trajectory without stop to collect data. We assume that a few powerful and highcapacity sensors deployed nearby the trajectory are the gateways, which are able to communicate with the sink directly when the sink is within their transmission ranges. Gateways play the role of relay nodes for the other sensors in the network. We also assume that the time of data uploading from the gateways to the mobile sink is limited. Thus, data from only a subset of sensors, called packet nodes, can be collected and used to estimate those of the others. The data quality is measured by the estimation accuracy. The upper bound on the number of packet nodes for a gateway is defined as the gateway quota. We formulate the optimization problem with the objective to identify the set of packet nodes, allocate them to gateways subject to gateway quotas, and devise an energy-efficient routing protocol, such that the sink can efficiently collect data generated from packet nodes with the maximum quality. Due to the NP-hardness of this problem, we propose a heuristic with low computation complexity. We also conduct extensive experiments by simulation to evaluate the performance of the proposed heuristic.

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“…In [8], [9], [12], [13], [17], [18], [20], a set of mobile collectors are used to move along pre-planned paths to collect data from static sensors. The collection process can be single-hop [9], [13], [20] or multi-hop [8], [12], [17], [18]. While such approaches can balance the energy consumption of sensors, moving these collectors may cause long delays, thus harming real-time applications.…”

Section: Introductionmentioning

confidence: 99%