A queue management MAC protocol for Delay-Tolerant Mobile Sensor Networks

Li, Jie; Yu-gui, QU; Li, Qiyue; Zhao, Baohua

doi:10.1109/icacc.2010.5486972

Cited by 7 publications

(5 citation statements)

References 9 publications

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“…Because nodes in an opportunistic environment are buffer‐constrained, efficient utilization of resources (such as buffer, bandwidth, contact duration, etc.,) is necessary to achieve optimal routing performance. Even if, many of the researchers developed efficient buffer management schemes for opportunistic networks; they do not consider the selfish behaviour of the nodes in the network. Need for a new routing algorithm to address buffer‐aware selfishness …”

Section: Related Workmentioning

confidence: 99%

“…Because, autonomy of nodes is obvious in such an environment, the level of node cooperation is also important to achieve higher throughput. None of the existing algorithms are suitable for such smart opportunistic environment because of their unrealistic assumptions. Lack of real test‐bed analysis : Most of the existing algorithms evaluated their routing performance using synthetic traces and none of them conducted any test‐bed analysis in real‐life smart opportunistic network scenarios.…”

Section: Related Workmentioning

confidence: 99%

“…Most of the traditional opportunistic routing and data forwarding algorithms have weak assumptions about the resource constraints and selfish behaviour of buffer‐constrained nodes. Although some of the researchers developed buffer management policies, for optimal routing performance in opportunistic networks, they have ignored the selfish behaviour of nodes caused by resource constraints. So, an efficient routing algorithm has to be designed for an SoE, which should satisfy following four performance requirements—(1) High throughput, (2) Low delay, (3) Optimal resource utilization, and (4) Tolerance to node selfishness.…”

Section: Introductionmentioning

confidence: 99%

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Addressing space‐constraint driven selfishness in smart opportunistic environment

Sobin¹,

Raychoudhury

Saha

2018

Int J Communication

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A smart opportunistic environment is a physical space, which allows the smart physical objects to communicate in the presence of disruption in connectivity. Because, the objects in such an environment are buffer constrained, some of the objects will not participate in data forwarding, when there is scarcity of storage (buffer) space. In this paper, we focus on such selfish behavior of other's name/id but not their respective location. In such a case, S has to choose an intermediate node from a set of its neighbor nodes (eg, between R 1 and R 2 ), such that the interest on item will be eventually delivered to B, through multihop communication. Suppose, if R 1 is selected as relay, it may behave selfishly due to scarcity of its resources, and drop the interest. This type of selfish behaviour triggered by the resource-constraints in nodes is non-trivial to detect, as the nodes may suddenly start behaving selfishly when their resources fall below some threshold.Data forwarding in an SoE is quite challenging because of dynamic network topology, frequent network disruptions caused by node mobility, resource constraints, selfish behavior of nodes, etc. The aforementioned use case ( Figure 1) can be modeled with Opportunistic Networks or Delay Tolerant Networks (DTNs), where nodes store, carry and forward messages in the presence of intermittent network connectivity.The concept of the node selfishness is an important factor to be considered in DTN routing. Considering a variety of applications of DTNs such as crisis management, battlefield, wildlife monitoring, vehicular network, Pocket Switched Networks (PSN), etc., the nodes in those networks are having energy constraints (limited power) and resource constraints (limited buffer, bandwidth, etc.). So, nodes in such a network may not be ready to receive the messages destined for other nodes, as message reception and forwarding are both energy consuming and resource utilizing processes. Also, in some of the applications of DTNs, such as vehicular network and PSN, which are networks of mobile phones carried by humans, the behavioral properties of humans (such as selfishness, friendship, etc.) will influence the network characteristics. Recent research 1 suggests that humans are naturally selfish and they cooperate based on their selfish needs. So selfishness of the nodes have to be considered while designing DTN routing protocol.Most of the traditional opportunistic routing and data forwarding algorithms 2-14 have weak assumptions about the resource constraints and selfish behaviour of buffer-constrained nodes. Although some of the researchers developed buffer management policies, 15-19 for optimal routing performance in opportunistic networks, they have ignored the selfish behaviour of nodes caused by resource constraints. So, an efficient routing algorithm has to be designed for an SoE, which should satisfy following four performance requirements-(1) High throughput, (2) Low delay, (3) Optimal resource utilization, and (4) Tolerance to node selfishness.The present paper ...

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Addressing space‐constraint driven selfishness in smart opportunistic environment

Sobin¹,

Raychoudhury

Saha

2018

Int J Communication

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“…To achieve a balance between utilization and energy efficiency, reference [9] proposes a cross-layer data delivery protocol in which a sender in the asynchronous phase contacts its neighbors to identify the right target nodes while in the synchronous phase it gains channel controls and transmits data packets to the sink nodes. Q-MAC [10] describes dynamic queue management for dealing with incoming data packets and EQ-MAC [11] is an optimal way to achieve energy savings by using a discrete-time Markov arrival process (MAP) priority queuing model to analyze the performance. Reference [12] proposed a novel queue management mechanism to ameliorate RTT unfairness and MAC anomaly problems in wired-cum-wireless networks, but it only works for 802.…”

Section: Itmentioning

confidence: 99%

A price-based interactive data queue management approach for delay-tolerant mobile sensor networks

2013

2013 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)

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This paper presents a price-based interactive data queue management approach (PI-DQM) for delay-tolerant mobile sensor networks (DT-MSNs) to address the priority deviation problem during the data transmission process. Three interactive parameters are introduced and weighted values a and the p-value are used in the price-based interaction model to identify the data priority. The method is transparent to prioritized data packets. Its effectiveness is illustrated by showing that it can ameliorate the data delivery ratio and achieve good performance in terms of average delay.

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“…However, the network topology changes frequently in a mobile environment, and the data transmission fails if the topology information updates untimely. [ 15 ] put forward a dynamic queue management way to deal with the incoming data packets but did not bring an optimal solution to achieve energy saving. Thus these MAC protocols do not work well in DTMSNs.…”

Section: Introductionmentioning

confidence: 99%

An Energy-Efficient MAC Protocol Using Dynamic Queue Management for Delay-Tolerant Mobile Sensor Networks

Yu-gui

et al. 2011

Sensors

Self Cite

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Conventional MAC protocols for wireless sensor network perform poorly when faced with a delay-tolerant mobile network environment. Characterized by a highly dynamic and sparse topology, poor network connectivity as well as data delay-tolerance, delay-tolerant mobile sensor networks exacerbate the severe power constraints and memory limitations of nodes. This paper proposes an energy-efficient MAC protocol using dynamic queue management (EQ-MAC) for power saving and data queue management. Via data transfers initiated by the target sink and the use of a dynamic queue management strategy based on priority, EQ-MAC effectively avoids untargeted transfers, increases the chance of successful data transmission, and makes useful data reach the target terminal in a timely manner. Experimental results show that EQ-MAC has high energy efficiency in comparison with a conventional MAC protocol. It also achieves a 46% decrease in packet drop probability, 79% increase in system throughput, and 25% decrease in mean packet delay.

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A queue management MAC protocol for Delay-Tolerant Mobile Sensor Networks

Cited by 7 publications

References 9 publications

Addressing space‐constraint driven selfishness in smart opportunistic environment

Addressing space‐constraint driven selfishness in smart opportunistic environment

A price-based interactive data queue management approach for delay-tolerant mobile sensor networks

An Energy-Efficient MAC Protocol Using Dynamic Queue Management for Delay-Tolerant Mobile Sensor Networks

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