A New Approach to Task Allocation in Wireless Sensor Actor Networks

Momeni, Hossein; Sharifi, Mohsen; Sedighian, Saeed

doi:10.1109/cicsyn.2009.51

Cited by 14 publications

(5 citation statements)

References 12 publications

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“…These packets might be naturally appropriated by ongoing packets (Zhao et al, 2009). Momeni et al (2009) proposed a two-level task allocation technique that first breaks down the end-toend tasks into real time tasks and utilizes suitable algorithm for sensing and acting tasks.…”

Section: Related Workmentioning

confidence: 99%

Efficient Scheduling of Packets in Wireless Sensor Networks Using Priority Based Scheduling Approach

Booba¹,

Gopal²

2015

Journal of Computer Science

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The packet scheduling is essential and plays an important role to sense the element nodes with resource constraints in Wireless Networks. The packet scheduling scheme also scale the energy consumption and end-to-end information transmission delay in time period and non-real-time information packets during wireless transmission. The proposed Priority based Packet Scheduling (PPS) technique has a tendency to overcome the issues based on priority queues in a wireless network. The priority queue has three levels at each node, except those at the last virtual hierarchy level in the zonebased topology of wireless network. In the meantime packet square are measured and placed in the highest-priority queue and might preempt information packets in alternative queues. In the non-real-time period packet square are measured and placed into two alternative queues supported at a particular threshold of their calculable interval. The time period and non-real time information has two queues in a leaf node, since they did not receive information from alternative nodes which causes scale back end-to-end delay. The proposed PPS technique has affinity to evaluate performance through simulations for the time period and non-real-time information. Simulation results illustrate that the PPS Scheme outperforms typical schemes in terms of average information waiting time and end-to-end delay.

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Section: Related Workmentioning

confidence: 99%

Efficient Scheduling of Packets in Wireless Sensor Networks Using Priority Based Scheduling Approach

Booba¹,

Gopal²

2015

Journal of Computer Science

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“…Hossein Momeni [21] proposed a new approach to task allocation in wireless sensor actor network which guarantee that the task complete their activities before their deadline expires. Fadi Tirkawi [22] proposed scheduling in nodes dependent on their depth from base station so that these nodes can have better chance to participate in sensing.…”

Section: Literature Overviewmentioning

confidence: 99%

Fast Response Multilevel Scheduling Scheme for Wireless Sensor Networks

Nikam¹,

Tiwari²

2014

IOSRJCE

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“…Though extensive research for scheduling the sleep/wake times of sensor nodes [5,13,15,16,33,71,72,58,89,94,92,97,109,108,112,116,128,120] have been conducted only a few studies exist in the literature on the packet scheduling of sensor nodes [27,88,102,119] that schedule the processing of data events available at a sensor node and also reduces energy consumptions. Indeed, most existing Wireless Sensor Network (WSN) applications use First Come First Serve (FCFS) [96] schedulers that process data packets in the order of their arrival time and, thus, require a lot of time to be delivered to a relevant base station (BS).…”

Section: Motivationmentioning

confidence: 99%

An integrated framework for wireless sensor network management

Karim

Mahmoud

Khan

2012

Wirel. Commun. Mob. Comput.

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Wireless Sensor Networks (WSNs) have significant potential in many application domains, and are poised for growth in many markets ranging from agriculture and animal welfare to home and office automation. Although sensor network deployments have only begun to appear, the industry still awaits the maturing of this technology to realize its full benefits. The main constraints to large scale commercial adoption of sensor networks are the lack of available network management and control tools for determining the degree of data aggregation prior to transforming it into useful information, localizing the sensors accurately so that timely emergency actions can be taken at exact location, and scheduling data packets so that data are sent based on their priority and fairness. Moreover, due to the limited communication range of sensors, a large geographical area cannot be covered, which limits sensors application domain. Thus, we investigate a scalable and flexible WSN architecture that relies on multi-modal nodes equipped with IEEE 802.15.4 and IEEE 802.11 in order to use a Wi-Fi overlay as a seamless gateway to the Internet through WiMAX networks. We focus on network management approaches such as sensors localization, data scheduling, routing, and data aggregation for the WSN plane of this large scale multimodal network architecture and find that most existing approaches are not scalable, energy efficient, and fault tolerant. Thus, we introduce an efficient approach for each of localization, data scheduling, routing, and data aggregation; and compare the performance of proposed approaches with existing ones in terms of network energy consumptions, localization error, end-to-end data transmission delay and packet delivery ratio. Simulation results, theoretical and statistical analysis show that each of these approaches outperforms the existing approaches. To the best of our knowledge, no integrated network management solution comprising efficient localization, data scheduling, routing, and data aggregation approaches exists in the literature for a large scale WSN. Hence, we efficiently integrate all network management components so that it can be used as a single network management solution for a large scale WSN, perform experimentations to evaluate the performance of the proposed framework, and validate the results through statistical analysis. Experimental results show that our proposed framework outperforms existing approaches in terms of localization energy consumptions, localization accuracy, network energy consumptions and end-to-end data transmission delay.

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A New Approach to Task Allocation in Wireless Sensor Actor Networks

Cited by 14 publications

References 12 publications

Efficient Scheduling of Packets in Wireless Sensor Networks Using Priority Based Scheduling Approach

Efficient Scheduling of Packets in Wireless Sensor Networks Using Priority Based Scheduling Approach

Fast Response Multilevel Scheduling Scheme for Wireless Sensor Networks

An integrated framework for wireless sensor network management

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