Multihop Ad Hoc Networking: The Evolutionary Path

Conti, Marco; Giordano, Silvia

doi:10.1002/9781118511305.ch1

Cited by 12 publications

(9 citation statements)

References 115 publications

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“…Though LLN links can also be wired, LLNs based on wireless mesh networks is the most common case, leveraging the IEEE 802. 15.4 low-rate WPAN standard. LLNs are the typical instance of capillary networks (i.e., edge networks) in a large class of IoT scenarios.…”

Section: Low Power/short Range Networkmentioning

confidence: 99%

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From MANET to people-centric networking: Milestones and open research challenges

Conti

Boldrini

Kanhere

et al. 2015

Computer Communications

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In this paper, we discuss the state of the art of (mobile) multi-hop ad hoc networking with the aim to present the current status of the research activities and identify the consolidated research areas, with limited research opportunities, and the hot and emerging research areas for which further research is required. We start by briefly discussing the MANET paradigm, and why the research on MANET protocols is now a cold research topic. Then we analyze the active research areas. Specifically, after discussing the wireless-network technologies, we analyze four successful ad hoc networking paradigms, mesh networks, opportunistic networks, vehicular networks, and sensor networks that emerged from the MANET world. We also present an emerging research direction in the multi-hop ad hoc networking field: people centric networking, triggered by the increasing penetration of the smartphones in everyday life, which is generating a people-centric revolution in computing and communications

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Section: Low Power/short Range Networkmentioning

confidence: 99%

“…Wireless Body Area Networks (WBANs) leverage the IEEE 802. 15.6 standard for low power, short range and extremely reliable wireless communications supporting a large range of data rates within the surrounding area of the human body [2.30]. Research challenges involve all layers of the protocol stack.…”

Section: Low Power/short Range Networkmentioning

confidence: 99%

From MANET to people-centric networking: Milestones and open research challenges

Conti

Boldrini

Kanhere

et al. 2015

Computer Communications

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“…These networks play an increasingly and important role nowadays because of the variety of applications available on such networks [1] [2]. One of the advantages of the multi-hop wireless communication is its capability to extend the connectivity in such way that two nodes [3] [4].…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of DYMO and OLSRv2 Routing Protocols in VANET

Yavuz¹,

Dael²,

Jabbar³

2020

IJIE

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Vehicular Ad hoc Networks (VANET) is one of the emerging mobile ad hoc networking paradigms (MANET), where the self-organizing and infrastructure-less nature of MANET structure. In VANETs, vehicle nodes communicate with each other using wireless links. However, the nodes are highly mobile and the topology of the network changes rapidly. Therefore, the design of routing protocols in VANETs is still a crucial issue. In this paper, we examine two of the most recent routing protocols that proposed for MANETs to select the optimal path between source-destination pairs, namely: Dynamic MANET On-demand (DYMO) and Optimized Link State Routing version 2 (OLSRv2) routing protocols. We evaluated and compared the performance of both protocols based on different parameters under various simulation scenarios. The result has shown that the DYMO protocol has higher through put and packet delivery ratio compare to the OLSRv2 protocol. However, the OLSRv2 protocols has better performance in the terms of average jitter and end to end delay compare to the DYMO protocol based on the paper's scenario. OLSRv2 should be selected if the system concerns about time delay and jitter, otherwise it should be selected DYMO to achieve higher throughput and high packet delivery.

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“…The main advantages of MANETs consist in the rapidity of their deployment and their low-cost compared to infrastructure-based networks. However, their proliferation is still limited by the inefficiency of current routing protocols to properly handle nodes mobility while preserving the limited and valuable resources of the network [1][2][3][4]. Resource scarcity of both the mobile nodes and the wireless medium precludes the use of additional control messages as it will be at the expense of less data traffic [5].…”

Section: Introductionmentioning

confidence: 99%

Autonomic Obstacle Detection and Avoidance in MANETs Driven by Cartography Enhanced OLSR

Belghith

Belhassen

Dhraief

et al. 2015

Mobile Information Systems

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The presence of obstructing obstacles severely degrades the efficiency of routing protocols in MANETs. To mitigate the effect of these obstructing obstacles, routing in MANETs is usually based on the a priori knowledge of the obstacle map. In this paper, we investigate rather the dynamic and autonomic detection of obstacles that might stand within the network. This is accomplished using the enhanced cartography optimized link state routing CE-OLSR with no extra signaling overhead. The evaluation of the performance of our proposed detection scheme is accomplished through extensive simulations using OMNET++. Results clearly show the ability of our proposed scheme to accurately delimit the obstacle area with high coverage and efficient precision ratios. Furthermore, we integrated the proposed scheme into CE-OLSR to make it capable of autonomously detecting and avoiding obstacles. Simulation results show the effectiveness of such an integrated protocol that provides the same route validity as that of CE-OLSR-OA which is based on the a priori knowledge of the obstructing obstacle map.

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Multihop Ad Hoc Networking: The Evolutionary Path

Cited by 12 publications

References 115 publications

From MANET to people-centric networking: Milestones and open research challenges

From MANET to people-centric networking: Milestones and open research challenges

Performance Evaluation of DYMO and OLSRv2 Routing Protocols in VANET

Autonomic Obstacle Detection and Avoidance in MANETs Driven by Cartography Enhanced OLSR

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