Controlled Sink Mobility Algorithms for Wireless Sensor Networks

Koç, Metin; Korpeoglu, Ibrahim

doi:10.1155/2014/167508

Cited by 19 publications

(6 citation statements)

References 28 publications

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“…There are several approaches devoted to the study of hierarchical mobile WSNs. Energy efficient routing protocols for multiple MDCs are investigated in [16,17]. The placement and relocation of multiple MDCs is investigated in [18].…”

Section: Related Workmentioning

confidence: 99%

Dynamic clustering and management of mobile wireless sensor networks

et al. 2017

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In Wireless Sensor Networks (WSNs), routing data towards the sink leads to unbalanced energy consumption among intermediate nodes resulting in high data loss rate. The use of multiple Mobile Data Collectors (MDCs) has been proposed in the literature to mitigate such problems. MDCs help to achieve uniform energy-consumption across the network, fill coverage gaps, and reduce end-to-end communication delays, amongst others. However, mechanisms to support MDCs such as location advertisement and route maintenance introduce significant overhead in terms of energy consumption and packet delays. In this paper, we propose a self-organizing and adaptive Dynamic Clustering (DCMDC) solution to maintain MDCrelay networks. This solution is based on dividing the network into well-delimited clusters called Service Zones (SZs). Localizing mobility management traffic to a SZ reduces signaling overhead, route setup delay and bandwidth utilization. Network clustering also helps to achieve scalability and load balancing. Smaller network clusters make buffer overflows and energy depletion less of a problem. These performance gains are expected to support achieving higher information completeness and availability as well as maximizing the network lifetime. Moreover, maintaining continuous connectivity between the MDC and sensor nodes increases information availability and validity. Performance experiments show that DCMDC outperforms its rival in the literature. Besides the improved quality of information, the proposed approach improves the packet delivery ratio by up to 10%, end-to-end delay by up to 15%, energy consumption by up to 53%, energy balancing by up to 51%, and prolongs the network lifetime by up to 53%.

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Section: Related Workmentioning

confidence: 99%

Dynamic clustering and management of mobile wireless sensor networks

et al. 2017

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“…To aggregate the data from different locations, sink mobility in a controlled manner is proposed by Koç et al [ 50 ]. It is the best approach in terms of energy efficiency, but controlling the movement of the sink in the large scale network becomes difficult.…”

Section: Related Workmentioning

confidence: 99%

A Novel Scheme for an Energy Efficient Internet of Things Based on Wireless Sensor Networks

Rani

Talwar²,

Malhotra³

et al. 2015

Sensors

190

106

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One of the emerging networking standards that gap between the physical world and the cyber one is the Internet of Things. In the Internet of Things, smart objects communicate with each other, data are gathered and certain requests of users are satisfied by different queried data. The development of energy efficient schemes for the IoT is a challenging issue as the IoT becomes more complex due to its large scale the current techniques of wireless sensor networks cannot be applied directly to the IoT. To achieve the green networked IoT, this paper addresses energy efficiency issues by proposing a novel deployment scheme. This scheme, introduces: (1) a hierarchical network design; (2) a model for the energy efficient IoT; (3) a minimum energy consumption transmission algorithm to implement the optimal model. The simulation results show that the new scheme is more energy efficient and flexible than traditional WSN schemes and consequently it can be implemented for efficient communication in the IoT.

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“…Energy efficient routing protocols for multi-sink sensor networks is investigated in [24,25]. The placement and relocation of multi-sinks is investigated in [26].…”

Section: Related Workmentioning

confidence: 99%

Unmanned Ground Vehicle for Data Collection in Wireless Sensor Networks: Mobility-aware Sink Selection

Aldabbas¹,

Abuarqoub²,

Hammoudeh³

et al. 2016

Open Autom. Control Syst. J.

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Abstract:Several recent studies have demonstrated the benefits of using the Wireless Sensor Network (WSN) technology in largescale monitoring applications, such as planetary exploration and battlefield surveillance. Sensor nodes generate continuous stream of data, which must be processed and delivered to end users in a timely manner. This is a very challenging task due to constraints in sensor node's hardware resources. Mobile Unmanned Ground Vehicles (UGV) has been put forward as a solution to increase network lifetime and to improve system's Quality of Service (QoS). UGV are mobile devices that can move closer to data sources to reduce the bridging distance to the sink. They gather and process sensory data before they transmit it over a long-range communication technology. In large-scale monitored physical environments, the deployment of multiple-UGV is essential to deliver consistent QoS across different parts of the network. However, data sink mobility causes intermittent connectivity and high reconnection overhead, which may introduce considerable data delivery delay. Consequently, frequent network reconfigurations in multiple data sink networks must be managed in an effective way. In this paper, we contribute an algorithm to allow nodes to choose between multiple available UGVs, with the primary objective of reducing the network reconfiguration and signalling overhead. This is realised by assigning each node to the mobile sink that offers the longest connectivity time. The proposed algorithm takes into account the UGV's mobility parameters, including its movement direction and velocity, to achieve longer connectivity period. Experimental results show that the proposed algorithm can reduce end-to-end delay and improve packet delivery ratio, while maintaining low sink discovery and handover overhead. When compared to its best rivals in the literature, the proposed approach improves the packet delivery ratio by up to 22%, end-to-end delay by up to 28%, energy consumption by up to 58%, and doubles the network lifetime.

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Controlled Sink Mobility Algorithms for Wireless Sensor Networks

Cited by 19 publications

References 28 publications

Dynamic clustering and management of mobile wireless sensor networks

Dynamic clustering and management of mobile wireless sensor networks

A Novel Scheme for an Energy Efficient Internet of Things Based on Wireless Sensor Networks

Unmanned Ground Vehicle for Data Collection in Wireless Sensor Networks: Mobility-aware Sink Selection

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