A Context-Aware Cross-Layer Broadcast Model for Ad Hoc Networks

Ouksel, Aris M.; Lundquist, Doug

doi:10.1016/j.procs.2012.06.066

Cited by 6 publications

(3 citation statements)

References 31 publications

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“…If the data packet is not of a high priority, the node can turn to sleep as long as the number of packets in the buffer does not exceed a predefined threshold. CACL (context‐aware cross‐layer) uses also local context related to the node density, its current state (idle, transmitting, or receiving) and the duration of the previous transmission to adjust its broadcast rate in order to avoid collisions under heavy load conditions. Indeed, upon a node n broadcasts a packet, CACL imposes a delay computed based on context data before n can broadcast again.…”

Section: Context‐aware Mac Protocolsmentioning

confidence: 99%

Context‐aware medium access control protocols in wireless sensor networks

Ghrab

Jemili

Belghith

et al. 2018

Internet Technology Letters

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Context‐awareness has recently been considered as a viable performance leverage for adapting protocols to their deployment evolving contexts. In constrained‐based Wireless Sensor Networks (WSN), context‐awareness enables sensors to learn about their contexts and automatically adjust their behaviors to improve the overall system performance. Most of the proposed solutions, however, dealt with the optimization of the usage of resources at the MAC (Medium Access Control) level. In this regard, context‐awareness allows nodes to smartly adapt their behavior to achieve application requirements while maintaining a balanced trade‐off between resources usage and network performances. We first review the most relevant work and proposals exploiting context‐awareness at the MAC level, and then highlight the benefits of using context awareness.

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Section: Context‐aware Mac Protocolsmentioning

confidence: 99%

Context‐aware medium access control protocols in wireless sensor networks

Ghrab

Jemili

Belghith

et al. 2018

Internet Technology Letters

View full text Add to dashboard Cite

show abstract

“…The context-aware cross-layer (CACL) broadcast scheduling scheme for ad hoc networks [ 8 ] uses context available locally in a node's MAC layer such as local node density, current state (idle, transmit, receive) and previous transmit duration, to schedule the broadcast of packets from the network routing layer in order to minimize broadcast collisions under heavy load conditions. This scheme does not use contexts that may be available from other layers or from sources that are external to the node.…”

Section: Related Workmentioning

confidence: 99%

Ambient Intelligence Context-Based Cross-Layer Design in Wireless Sensor Networks

Liu

Seet

Al-Anbuky

2014

Sensors

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By exchanging information directly between non-adjacent protocol layers, cross-layer (CL) interaction can significantly improve and optimize network performances such as energy efficiency and delay. This is particularly important for wireless sensor networks (WSNs) where sensor devices are energy-constrained and deployed for real-time monitoring applications. Existing CL schemes mainly exploit information exchange between physical, medium access control (MAC), and routing layers, with only a handful involving application layer. For the first time, we proposed a framework for CL optimization based on user context of ambient intelligence (AmI) application and an ontology-based context modeling and reasoning mechanism. We applied the proposed framework to jointly optimize MAC and network (NET) layer protocols for WSNs. Extensive evaluations show that the resulting optimization through context awareness and CL interaction for both MAC and NET layer protocols can yield substantial improvements in terms of throughput, packet delivery, delay, and energy performances.

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“…CACL is specifically designed for high-traffic, high-density broadcast communications, in which it outperforms the 802.11 MAC for both single-hop [9] and multi-hop [10] scenarios. We have termed SBSD operating in conjunction with CACL as SBSD-C.…”

Section: B Self-balancing Supply/demandmentioning

confidence: 99%

Probabilistic source-based query subsumption in vehicular ad hoc networks

Ouksel

Lundquist

2013

16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)

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The ongoing growth of wireless ad hoc networking makes efficient bandwidth usage a vital concern. Reducing data transmission redundancy is well-studied for stable network topologies but dynamic environments pose unique challenges because network state information obsolesces quickly. We test a probabilistic query-based subsumption model, varying query ranges and posting rates, in simulated mixed networks of vehicles and pedestrians using a controlled flooding routing protocol. We show this subsumption model substantially improves network throughput and speeds delivery of responses.Index Terms-Ad hoc network, computer simulation, mobile computing, query processing, vehicular communication. I. INTRODUCTIONHE ongoing growth of wireless ad hoc networking for real-time information delivery is one of today's major technological trends. Important applications include ecommerce, health care monitoring, smart utilities, travel information, and coordinating military operations [1]. With the growing use of and demand for wireless communication, efficient use of bandwidth is vital, particularly for applications providing updates at short intervals, such as vehicular safety [2]. This paper presents a subsumptionbased model for increasing ad hoc network throughput.Subsumption is a query (or response) being contained wholly within a set of queries (or responses). We illustrate the usage of subsumption relationships in Fig. 1, showing four cars (A, B, C, and D) traveling in series. Assume each car is only in communication range of the vehicles immediately in front of or behind it, i.e., C can communicate with B and D but not A. Let us further assume other vehicles exist in both directions; D can communicate with these vehicles through a car E and, for A, through a car Z.Definition: Given a set of n queries Q = {q 1 , q 2 , …, q n }, a query q is subsumed by Q if q ⊆{q 1 q 2 … q n }. Given a set of n responses R = {r 1 , r 2 , …, r n }, if r ⊆{r 1 r 2 … r n } then r is likewise subsumed by R.Example: Using Q and R from the above definition, let each response r i in R fulfill query q i in Q. Further, let query

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A Context-Aware Cross-Layer Broadcast Model for Ad Hoc Networks

Cited by 6 publications

References 31 publications

Context‐aware medium access control protocols in wireless sensor networks

Context‐aware medium access control protocols in wireless sensor networks

Ambient Intelligence Context-Based Cross-Layer Design in Wireless Sensor Networks

Probabilistic source-based query subsumption in vehicular ad hoc networks

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