A hybrid routing protocol for wireless sensor networks with mobile sinks

Safdar, Veena; Bashir, Faisal; Hamid, Zara; Afzal, Hammad; Pyun, Jae-Young

doi:10.1109/iswpc.2012.6263665

Cited by 46 publications

(38 citation statements)

References 4 publications

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“…Nevertheless, some additional improvements have already been developed to incorporate the use of data mules in the routing protocols. These developments have been carried out by RPL [6] or LEACH [7].…”

Section: Linked To the Algorithmmentioning

confidence: 99%

Routing in Wireless Sensor Networks for Surveillance of Airport Surface Area

Garcia

Pirovano

Royer

2018

Lecture Notes in Computer Science

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Abstract. The surveillance of airport surface area is a crucial operation for the safety of passengers and the airport itself. Even if this method have shown its limits, today the airports keep employing visual inspection. Some technology radar based systems are available but they are still very expensive and do not cover exhaustively the needs. In this paper, we present the first part of a research work that aims to propose a surface surveillance method based on wireless sensor networks (WSN). To the best of our knowledge, this is an unexplored alternative. However, considering their low cost and their ability to ensure surveillance in other domains like agriculture, WSNs surely represent an interesting solution in airports. Our research focuses on the definition of a suitable routing protocol for WSN in the context of airport surface surveillance. We present in this article some properties about the context of airport surveillance and then a brief description and classification of the most popular routing protocols for WSN. Finally we identify a routing protocol for WSN that, as the most suitable for the considered context, could be used as reference in the next steps of our research works.

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Section: Linked To the Algorithmmentioning

confidence: 99%

Routing in Wireless Sensor Networks for Surveillance of Airport Surface Area

Garcia

Pirovano

Royer

2018

Lecture Notes in Computer Science

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“…A hybrid routing protocol for WSNs with mobile sinks [10] aimed to improve the parent selection in RPL by deploying one or more mobile sinks that move towards nodes with higher residual energy in a controlled manner to overcome the problem of depleting nodes closer to the sink. This protocol improves the lifetime of the network by balancing the energy usage among nodes.…”

Section: Related Workmentioning

confidence: 99%

Dynamic RPL for multi-hop routing in IoT applications

Kharrufa

Al-Kashoash

Al-Nidawi

et al. 2017

2017 13th Annual Conference on Wireless on-Demand Network Systems and Services (WONS)

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Abstract-The Routing Protocol for Low Power and Lossy Networks (RPL) has become the standard routing protocol for the Internet of Things (IoT). This paper investigates the use of RPL in dynamic networks and presents an enhanced RPL for different applications with dynamic mobility and diverse network requirements. This implementation of RPL is designed with a new dynamic Objective-Function (D-OF) to improve the Packet Delivery Ratio (PDR), end-to-end delay and energy consumption while maintaining low packet overhead and loop-avoidance. We propose a controlled reverse-trickle timer based on received signal strength identification (RSSI) readings to maintain high responsiveness with minimum overhead and consult the objective function when a movement or an inconsistency is detected to help nodes make an informed decision. Simulations are done using Cooja with random waypoint mobility scenario for healthcare applications considering multi-hop routing. The results show that the proposed dynamic RPL (D-RPL) adapts to the nodes mobility and has a higher PDR, slightly lower end-to-end delay and reasonable energy consumption compared to related existing protocols.

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“…In addition, proposed hybrid model achieved better throughput by minimizing the flooding process to a limited scope instead of entire network and hence guaranteed effective network performance. Safdar et al (2012) proposed a HRP for proficiently handling the changing position of multiple mobile sink in WSNs. In this paper, the nodes that are close to the data sink maintain DAGs i.e.…”

Section: Related Workmentioning

confidence: 99%

Enhanced Hybrid Routing Protocol for Load Balancing in WSN Using Mobile Sink Node

Kaur¹,

Shergi²

2016

Industrial Engineering and Management Systems

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Load balancing is a significant technique to prolong a network's lifetime in sensor network. This paper introduces a hybrid approach named as Load Distributing Hybrid Routing Protocol (LDHRP) composed with a border node routing protocol (BDRP) and greedy forwarding (GF) strategy which will make the routing effective, especially in mobility scenarios. In an existing solution, because of the high network complexity, the data delivery latency increases. To overcome this limitation, a new approach is proposed in which the source node transmits the data to its respective destination via border nodes or greedily until the complete data is transmitted. In this way, the whole load of a network is evenly distributed among the participating nodes. However, border node is mainly responsible in aggregating data from the source and further forwards it to mobile sink; so there will be fewer chances of energy expenditure in the network. In addition to this, number of hop counts while transmitting the data will be reduced as compared to the existing solutions HRLBP and ZRP. From the simulation results, we conclude that proposed approach outperforms well than existing solutions in terms including end-to-end delay, packet loss rate and so on and thus guarantees enhancement in lifetime.

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A hybrid routing protocol for wireless sensor networks with mobile sinks

Cited by 46 publications

References 4 publications

Routing in Wireless Sensor Networks for Surveillance of Airport Surface Area

Routing in Wireless Sensor Networks for Surveillance of Airport Surface Area

Dynamic RPL for multi-hop routing in IoT applications

Enhanced Hybrid Routing Protocol for Load Balancing in WSN Using Mobile Sink Node

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