Multi-objective QoS routing for wireless sensor networks

Alwan, Hind; Agarwal, Anjali

doi:10.1109/iccnc.2013.6504241

Cited by 26 publications

(9 citation statements)

References 19 publications

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“…Simulation results show that QEMPR protocol can distribute the network traffic throughout the multiple paths, thus increasing network lifetime. The multipath protocols that use the weighted sum method to implement trade-off also include: LHMR [57], energy efficient and collision aware (EECA) [58], EQSR [59], MQoSR [60], dynamic multi-objective routing algorithm (DyMORA) [61], Bouabdallah [27] and Banerjee's scheme [62], and so on.…”

Section: Trade-off In Next Hop Selectionmentioning

confidence: 99%

An overview of performance trade-off mechanisms in routing protocol for green wireless sensor networks

et al. 2015

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Along with the development of the technologies of various kinds, wireless sensor networks are gradually entering into the practicalization phase. Therefore, whether its performance is good or not will directly affect the use of WSNs. Routing is one of the most important technologies. In addition, the routing performance is a significant part of the evaluation index system of wireless sensor networks. Energy efficiency is focused on in the traditional routing protocols, while quality of service (QoS) (i.e., delay, reliability, robustness) becomes important in practical application. Routing protocols should not only ensure the energy efficiency, but also realize QoS performances. As a consequence how to achieve the equilibrium between energy efficiency and other performances is the issue to be solved. In this paper, some performance trade-off mechanisms and methods that have existed in the routing protocols of wireless sensor networks are analyzed and summarized. At the same time, the related technical features of the routing protocols are mentioned, the purpose of which is to provide a better understanding of the current research issues within the field of performance trade-off mechanisms and to guide the researcher to develop the routing protocols with better performance in order to fulfill the actual requirements.

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Section: Trade-off In Next Hop Selectionmentioning

confidence: 99%

An overview of performance trade-off mechanisms in routing protocol for green wireless sensor networks

et al. 2015

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“…Neighbor selection algorithm combined with geographic routing mechanism to provide multi-objective QoS routing for different application requirements is suggested in MQoSR [26]. Multiple QoS classes are formed according to the requirements of the application on the basis of energy, reliability, and delay.…”

Section: Qos-based Routingmentioning

confidence: 99%

Multi-hop Reliability and Network Operation Routing

Rani¹,

Ahmed

2015

SpringerBriefs in Electrical and Computer Engineering

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Many routing, power aware and data diffusion protocols have been designed especially for WSN, which are reliability and network operation based. The presentation of various ideas on multi-hop reliability and network operation based routing protocols is given here. Unattended sensor nodes deployed randomly in the network area require reliable routing. In recent years, an extensive research has addressed various issues for the coordination and management of nodes for efficient operations and efficient routing. The mission of maintaining and finding routes is nontrivial as sudden changes in status of nodes lead to unpredictable consequences. In this chapter, comparative study of various routing protocols has been presented to pave new ways to researchers. In this chapter, we have classified reliability and network operation routing in to five types (i) coherent based, (ii) QoS based, (iii) multipath based, (iv) query based and negotiation based.Keywords Multi-hop routing Á Reliability Á Network operations Á Query Á Quality of service (QoS) Á Coherent Brief HistoryDesigning of Routing protocols for demands of existing and developing applications is an important issue. Multi-hop routing protocols are classified into five categories under network operation and reliability (Fig. 3.1). Many protocols are proposed in literature based on single path communication without considering the increased load on that path. Routing through single path requires less computation but it reduces the network throughout [1,2]. In case of the single path failure, new routes need to be searched, which can waste the resources and energy of the nodes. Due to resource constraints and limitations of single path routing, multipath routing became the promising solution to exploit the benefits of WSN. Wireless sensor network is different from other networks in operation as it needs some global address scheme to identify the location of the sensor nodes for communication. In

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“…Multi-objective QoS routing for wireless sensor networks (MQoSR) [22]. The authors used geographic routing mechanism combined with QoS to transmit data packet to the base station.…”

Section: Related Workmentioning

confidence: 99%

Modelling and QoS Implementation of Wireless Sensor Networks based on the Ant Colony Optimization Approach

Abidoye¹

2018

IJITCS

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A new form of wireless sensor networks is emerging as an important component of the Internet of Things (IoT) where camera devices are interconnected and endowed with an IP address to form visual sensor networks. The applications of these networks span from smart parking systems in smart cities, video surveillance for security systems to healthcare monitoring and many others which are emerging from niche areas. The management of such sensor networks will require meeting a higher quality of service (QoS) constraints than demanded from traditional sensor networks. While many works have focused only on energy efficiency as a way of providing QoS in sensor networks, we consider a novel modelling approach where local optimizations implemented on the sensor nodes are translated into pheromone distribution used in ant colony optimization for path computation. We propose a routing protocol called the multipath ant colony optimization (MACO) that finds QoS-aware routing paths for the sensor readings from source nodes to the sink by relying on four local parameters: the link cost, the remaining energy of neighboring nodes, sensor nodes location information and the amount of data a neighbor node is currently processing. Finally, we propose an architecture for integrating sensor data with the cloud computing. Simulation results reveal the relative efficiency of the newly proposed approach compared to selected related routing protocols in terms of several QoS metrics. These include the network energy efficiency, delay and throughput.

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Multi-objective QoS routing for wireless sensor networks

Cited by 26 publications

References 19 publications

An overview of performance trade-off mechanisms in routing protocol for green wireless sensor networks

An overview of performance trade-off mechanisms in routing protocol for green wireless sensor networks

Multi-hop Reliability and Network Operation Routing

Modelling and QoS Implementation of Wireless Sensor Networks based on the Ant Colony Optimization Approach

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