PSAR: power-source-aware routing in ZigBee networks

Tekkalmaz, Metin; Korpeoglu, Ibrahim

doi:10.1007/s11276-012-0424-5

Cited by 22 publications

(8 citation statements)

References 31 publications

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“…Table 1 shows the most familiar wireless technologies to wirelessly achieve the communication process. Each one has different characteristics to be suitable for different cases [15][16][17]. Table 2 some wireless technologies However, since VNs have certain characteristics such high mobility and high changing in topology, a suitable radio technology is needed to meet their requirements [18,19].…”

Section: Affecting Factors On Groupingmentioning

confidence: 99%

Grouping vehicles in Vehicular Social Networks

Mahdi

Hasson

2017

KJAR

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As vehicles have become intelligent objects, creating social friendships among them is justifiable. Internet of Vehicles (IoVs) and Vehicular Ad-hoc NETworks (VANETs) are associated terms that are recently highlighted to improve the transportation systems. Intelligent vehicles that can communicate with each other are the main component of vehicular networks (VNs). Indeed, they have resources for that intelligence: CPU, transceiver, sensors and memory. On the other side, social networks (SNs) are also brought to light to mainly study the human relationships. In this context, gathering these vehicles in social groups is reasonable to share their information by bridging VN and SN in a multidisciplinary research direction called vehicular social networks (VSNs).This paper will present a model to group vehicles in two types of social groups. Casual groups and permanent or formal groups will be discussed to increase social ties among vehicles that have the same interests. The results will be analyzed to clarify the most important factors that affect such these relationships.

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Section: Affecting Factors On Groupingmentioning

confidence: 99%

Grouping vehicles in Vehicular Social Networks

Mahdi

Hasson

2017

KJAR

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“…ZigBee specification is a promising wireless standard for low power, low cost, and low data rate applications, since it pays great attention to energy efficiency and communication overheads [1][2][3]. ZigBee network has been widely applied and studied for the past few years, due to its attractive features of cost effectiveness, reliability, scalability, and simplicity [4][5][6]. The energy cost of transmitter and receiver in data transmission is the primary overhead in wireless communication, thus the routing mechanism mostly determines the energy consumption.…”

Section: Introductionmentioning

confidence: 99%

An improved AODV routing for the zigbee heterogeneous networks in 5G environment

2017

Ad Hoc Networks

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A modified AODV Junior routing protocol is adopted as part of the combined routing strategy in the ZigBee networks. However, its routing overhead caused by the routing discovery and the routing table maintenance needs to be further reduced. Considering the deploying environment, the emerging 5G technology tends to be ubiquitous in the near future. Due to its native support to the smart devices and the M2M communication, the 5G terminals may be used as gateways for the ZigBee networks to improve the existing routing method. The ZigBee coordinator and the 5G terminals, which both have the accessibility to the internet, are defined as associated gateways (AG). Aiming to the higher efficiency and the shorter path, an improved ZigBee AODV (Z-AODV) routing protocol using associated gateways for the heterogeneous networks in the 5G environment is proposed in this paper. Besides the regular ZigBee function, by sharing the neighbour and routing information via IP network, the AGs are also responsible for collaboratively finding the optimum path and transmitting the packets to reduce the consumption for ZigBee devices. Moreover, an additional routing information collecting method is developed to further improve the routing performance. The proposed algorithm is evaluated based on simulation results. It is shown that our routing method outperforms the existing ones by higher picketer deliver ratio, shorter path length, lower latency, fewer packets sent per ZigBee node and lower routing overhead.Nonetheless, the described routing mechanism cannot thoroughly address energy consumption issues due to the limitation of the insufficient resources in ZigBee devices [10]. Therefore the routing improvement has been a main research content for the ZigBee networks. The formation and protocol optimizing is a common solution, and it is another way that to resort to the resources in deployed environment. The coming 5G communication is one of the typical environments which will be ubiquitous in the near future.5G technology is a term to indicate the forthcoming most important phase of mobile communication standards beyond the 4G. Considering the extremely higher aggregate data rates and the much lower latencies required, several disruptive technologies have been widely regarded the key challenges in the 5G era. Three of them are the native support for the M2M communication, the smarter devices, and the Millimetre wave [11]. For the native inclusion of M2M communication in 5G networks, there are three fundamentally different requirements associated with different classes of low-data-rate services: support of a massive number of low-rate devices, sustaining a minimal data rate in virtually all circumstances, and very-low-latency data transfer [12]. The smarter devices will allow the 5G terminals have access to different wireless technologies at the same time [13]. Additionally, the instinct of the larger path loss in the propagation for millimetre communication consequentially leads to a higher density infrastructure and relays [14]. Based ...

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“…The hybrid routing mechanism is designed for different requirements in the data transmission. However, limited by the insufficient resources in the ZigBee devices, the described routing protocols cannot fully address power consumption issues [5][6][7][8][9]. Besides optimizing the current network formation and protocols, it is another way that to improve the performance with the help of the deployed environment, which includes the coming 5G communication network.…”

Section: Introductionmentioning

confidence: 99%

Performance analysis of the ZigBee networks in 5G environment and the nearest access routing for improvement

Han

2017

Ad Hoc Networks

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The ZigBee network is widely studied and deployed recently because its low cost and simplicity features. However, the power consumption issue needs a further improvement since the application requirements are not fully satisfied. The emerging 5G communication technology is characterized by the smarter devices and the native support for the M2M communication. On that basis, the 5G terminals are capable of joining the existing ZigBee networks and have the potential to improve the data transmission. In this paper, we investigate the performance of the ZigBee networks in the 5G environment for different scenarios. Then a nearest access routing (NAR) algorithm based on the physical depth is proposed for different communication types. To reduce the loads in ZigBee networks, the data flow in the neighborhood of 5G terminals is gathered and transmitted via the IP networks. The simulation results showed that NAR effectively share the communication in ZigBee networks. It leads to better performances with higher packet delivery ratio, less hop counts from ZigBee devices, lower latency, fewer packets sent by ZigBee nodes and zero routing overheads.

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PSAR: power-source-aware routing in ZigBee networks

Cited by 22 publications

References 31 publications

Grouping vehicles in Vehicular Social Networks

Grouping vehicles in Vehicular Social Networks

An improved AODV routing for the zigbee heterogeneous networks in 5G environment

Performance analysis of the ZigBee networks in 5G environment and the nearest access routing for improvement

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