Application of LTE to wireless sensor systems

Beale, Martin; Barrett, S.; Piggin, Paul; Young, P.; Morioka, Yuichi

doi:10.1049/cp.2012.0603

Cited by 4 publications

(3 citation statements)

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“…Wireless sensors can be connected directly (through a gateway) to an eNodB (LTE base station) or via unstructured networking, ad-hoc networking or cognitive radio techniques [1,2]. In this paper, sensor nodes (SNs) are placed in locations where LTE, is the only available method of connectivity.…”

Section: Introductionmentioning

confidence: 99%

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Long Term Evolution (LTE) Scheduling Algorithms in Wireless Sensor Networks (WSN)

Jabbar¹,

Abdullah²

2015

IJCA

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Many applications of wireless sensor network such as smart metering, environment monitoring and health care [1] use a large number of sensor nodes, which generate a huge amount of traffic with the specification of the different QoS requirements. Broadband transmission can be achieved through the mobile systems. Long Term Evolution (LTE) is the main efficient broadband technology in current mobile communications. IntroducingWireless sensor networks into the Long Term Evolution (LTE) networks, can be achieved successfully but with some challenges, such as the traffic overload due to a large number of sensor nodes. Traffic scheduling plays an important role in LTE technology; this can be achieved by assigning the shared resources among users in an efficient and optimized manner. This paper discusses the effect of many types of scheduling algorithms on the downlink performance, this can be done in terms of throughput, block error rate (BLER) and fairness measurements using a MATLAB-based system level Simulator is provide which from Vienna University under License Agreement for "Academic Usage" [8]. An effective radio scheduler to optimize the distribution of radio resources among the sensor nodes is also studied. The guaranteed QoS user demands can be considered as a great challenge in the current field of research.

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Section: Introductionmentioning

confidence: 99%

“…In this paper, sensor nodes (SNs) are placed in locations where LTE, is the only available method of connectivity. This case can be found in smart metering, environment monitoring and agricultural applications [2].…”

Section: Introductionmentioning

confidence: 99%

Long Term Evolution (LTE) Scheduling Algorithms in Wireless Sensor Networks (WSN)

Jabbar¹,

Abdullah²

2015

IJCA

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“…Most WNCS research has focused on IEEE 802.15.4 and its various child standards such as ZigBee which have been specifically designed for sensor and control applications [3], or else other low to medium range wireless standards such as Bluetooth [4] or Wi-Fi [5]. Very little work has been performed on the use of wide area cellular standards such as 3GPP LTE in the context of a WNCS, and this research tends to focus only on the sensor network rather than the complete control loop [6]. This is partly because many control applications have only local scope (e.g.…”

Section: Introductionmentioning

confidence: 99%

Reflection: An efficient technique for implementing an LTE based wireless network control system for smart grid and other applications

Brown

Khan

2013

2013 IEEE International Conference on Communications (ICC)

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Wireless Network Control Systems (WNCSs) have been developed and deployed in many applications because of the flexibility afforded by the wireless communications medium in accommodating the control loop. In this paper, we examine a wide area WNCS using LTE as the wireless fabric. We introduce a novel concept known as "reflection" which is a subscription model that allows an LTE eNodeB to inform certain nodes in a group about low level radio signalling from certain other nodes in the group before any application data has been sent. The mean Round Trip Time (RTT) for control in an LTE based wide area WNCS which is enhanced for reflection is reduced by at least 6ms compared to a standard LTE based wide area WNCS. This is demonstrated using an OPNET simulation model that compares a reflection based architecture with a reference architecture. The technique has applications in Smart Grid control applications (such as Fault Detection and Isolation) and in other vertical industries in which WNCSs may be relevant.

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