PSWare: A publish / subscribe middleware supporting composite event in wireless sensor network

Lai, Steven; Cao, Jiannong; Zheng, Yuan

doi:10.1109/percom.2009.4912862

Cited by 24 publications

(17 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…With this approach, a 3rd party is required to realize the desired functionality, whereas we want to allow direct end-to-end interactions with the constrained devices. There are also middleware-based pub/sub solutions such as Mires [10] and PSWare [11]. Most of these solutions introduce a new protocol specifically addressing this issue while our approach, however, is an extension of an existing protocol that is being developed in an open standardization organization.…”

Section: Related Workmentioning

confidence: 99%

Facilitating the creation of IoT applications through conditional observations in CoAP

Teklemariam

Hoebeke

Moerman

et al. 2013

J Wireless Com Network

View full text Add to dashboard Cite

With the advent of IPv6, the world is getting ready to incorporate smart objects to the current Internet to realize the idea of Internet of Things. The biggest challenge faced is the resource constraint of the smart objects to directly utilize the existing standard protocols and applications. A number of initiatives are currently witnessed to resolve this situation. One of such initiatives is the introduction of Constrained Application Protocol. This protocol is developed to fit in the resource-constrained smart object with the ability to easily translate to the prominent representational state transfer implementation, hypertext transfer protocol (and vice versa). The protocol has several optional extensions, one of them being, resource observation. With resource observation, a client may ask a server to be notified every state change of the resource. However, in many applications, all state changes are not significant enough for the clients. Therefore, the client will have to decide whether to use a value sent by a server or not. This results in wastage of the already constrained resources (bandwidth, processing power,…). In this paper, we introduced an alternative to the normal resource observation function, named Conditional Observation, where clients tell the servers the criteria for notification. We evaluated the power consumption and number of packets transmitted between clients and servers by using different network sizes and number of servers. In all cases, we found out that the existing observe option results in excessive number of packets (most of them unimportant for the client) and higher power consumption. We also made an extensive theoretical evaluation of the two approaches which give consistent result with the results we got from experimentation.

show abstract

Section: Related Workmentioning

confidence: 99%

Facilitating the creation of IoT applications through conditional observations in CoAP

Teklemariam

Hoebeke

Moerman

et al. 2013

J Wireless Com Network

View full text Add to dashboard Cite

show abstract

“…• Event-based approaches, which rely on publish/ subscribe mechanisms for sensor data delivery (e.g., Mires [22], PSWare [23]). In this case, the middleware architecture allows sensor nodes to advertise the types of sensor data they can provide, client applications to select from the advertised services, and sensor nodes to publish their data to clients in accordance with their subscriptions.…”

Section: Related Studymentioning

confidence: 99%

A framework for service provisioning in virtual sensor networks

Sarakis

Zahariadis

Leligou

et al. 2012

J Wireless Com Network

View full text Add to dashboard Cite

“…Thus, to achieve a design tradeoff between energy costs associated with push and pull modes, we need to know something about the application. For example, as shown in Figure 2.1 we have found that, when transitioning from MICA2 [18] to RCB [6], network communication decreases from 25 percent to 4.5 percent of total energy cost. Correspondingly sensor energy consumption due to sampling increases from 74 percent to 94 percent.…”

Section: The Push/pull Envelopementioning

confidence: 99%

“…(18) represents the total energy cost by using our mixed push pull scheme. n pull1 and n push1 means the total number of pulls and pushes respectively between edges and the cloud in our mixed push pull scheme; while n pull2 and n push2 means respectively the total number of pulls and pushes between edges and sensors in our mixed push pull scheme.…”

Section: Evaluation Metricsmentioning

confidence: 99%

Optimizing push/pull envelopes for energy-efficient cloud-sensor systems

Helal

Thai

et al. 2011

Proceedings of the 14th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems

View full text Add to dashboard Cite

Unlike traditional distributed systems, where the resources/needs of computation and communication dominate the performance equation, sensor-based systems (SBS) raise new metrics and requirements for sensors as well as for computing and communication. This includes sensing latency and energy consumption. In this paper, we present a performance model for SBS based on a three-tier architecture that uses edge devices to connect massive-scale networks of sensors to the cloud. In this architecture, which we call Cloud, Edge, and Beneath (CEB), initial processing of sensor data occurs in-and near-network, in order to achieve system sentience and energy efficiency. To optimize CEB performance, we propose the concept of optimal push/pull envelope (PPE). PPE dynamically and minimally adjusts the base push and pull rates for each sensor, according to the relative characteristics of sensor requests (demand side from the Cloud) and sensor data change (supply side from Beneath). We demonstrate the CEB architecture and its push/pull envelope optimization algorithm in an experimental evaluation that measures energy savings and sentience efficiency over a wide range of practical constraints. In addition, from the experiments we demonstrate that by combining PPE optimization algorithm with lazy sampling algorithm, we can achieve further energy saving.

show abstract

PSWare: A publish / subscribe middleware supporting composite event in wireless sensor network

Cited by 24 publications

References 16 publications

Facilitating the creation of IoT applications through conditional observations in CoAP

Facilitating the creation of IoT applications through conditional observations in CoAP

A framework for service provisioning in virtual sensor networks

Optimizing push/pull envelopes for energy-efficient cloud-sensor systems

Contact Info

Product

Resources

About