Dynamic Analysis for the Average Shortest Path Length of Mobile Ad Hoc Networks Under Random Failure Scenarios

Liu, Si; Zhang, Degan; Liu, Xiaohuan; Zhang, Ting; Gao, Jin-xin; Gong, Changle; Cui, Yu-ya

doi:10.1109/access.2019.2896699

Cited by 102 publications

(57 citation statements)

References 32 publications

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“…However, their model only focused on the residual energy, thus may not be useful for protocols that need distance and mobility pattern for reliable link. Meanwhile, Liu et al focused on the ASPL and proposed a model for calculating the ASPL of the MANET after the random edge failure. The model provides a general framework for determining the shortest path of MANET.…”

Section: Related Workmentioning

confidence: 99%

“…Also, a few of the existing research efforts focus on the changes in network topology caused by random node failures and its impact on the topology of mobile ad hoc network (MANET). Closer to our work is the work of Liu et al, where they proposed a model for calculating the average shortest path length (ASPL) after the random edge failure. Their model provides a general framework for studying the shortest path of MANET based on local‐area choice of MANET with the constraints of node energy consumption and link distance.…”

Section: Introductionmentioning

confidence: 99%

“…Most MWSNs are both self‐forming and self‐healing, thereby enabling peer‐level communications between their mobile nodes without relying on centralized resources or fixed infrastructure. Their nodes, with in‐built controllers and batteries as shown in Figure , are characterized by low energy, computation power constraint, and in‐deterministic topology due to their random mobilities, which contribute to the nonstability of MWSNs and lead to the low data delivery rate and general poor performance of MWSNs . Several routing protocols had been proposed for WSNs, some of these protocols as proposed in consider different factors to achieve reliability, increase routing speed, and low transmission energy.…”

Section: Introductionmentioning

confidence: 99%

“…Their nodes, with in-built controllers and batteries as shown in Figure 1, are characterized by low energy, computation power constraint, and in-deterministic topology due to their random mobilities, 1 which contribute to the nonstability of MWSNs and lead to the low data delivery rate and general poor performance of MWSNs. 2,3 Several routing protocols had been proposed for WSNs, some of these protocols as proposed in [4][5][6][7][8][9][10][11][12][13] consider different factors to achieve reliability, increase routing speed, and low transmission energy. For example, to achieve reliable data delivery, many MWSN routing protocols select multiple optimal multihop paths instead of single optimal path for data routing in the network by using these characteristics to determine the optimal multihop paths.…”

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confidence: 99%

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Mobility and energy prediction models: Approach toward effective route management in mobile wireless sensor networks

Olakanmi

Odeyemi

Abbas

2020

Engineering Reports

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Mobile wireless sensor network (MWSN), as a backbone of most communication and embedded systems, is characterized by low data delivery as a result of the energy constraint and in‐deterministic movement of the nodes. To select optimal route path for a reliable data routing, protocols need to select neighbouring nodes with low mobility and residual energy parameters along the route. However, obtaining these parameters from the targeted nodes may encourage mischievous nodes to manipulate their energy and mobility parameters in their favor, leading to the selection of non‐optimal route path and/or exposing the network to other attacks. Rather than depending on the targeted nodes for these parameters, they can be accurately and securely obtained by sink node or base station using effective predictive models. However, most of the existing predictive models engaged by MWSN routing protocols either provide only the energy level or mobility factor of the nodes for optimal route path selection. This, therefore, reduces the reliability of the obtained optimal route paths in terms of data delivery. In this article, we propose predictive models for an accurate prediction of mobility and residual energy parameters of nodes in MWSN for efficient route management. The models are simulated on an existing MWSN protocol to determine their performance. The simulation results show that the adoption of these models in the development of routing protocol will not only lead to optimal route paths' selection but also enhance data delivery rate in MWSN.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Mobility and energy prediction models: Approach toward effective route management in mobile wireless sensor networks

Olakanmi

Odeyemi

Abbas

2020

Engineering Reports

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show abstract

“…Even in mobile networks, this trouble was treated extensively by researchers, for example, in previous studies. Moreover, in order to reach the same objective, many sensing and aggregation methods were developed, for instance, in Ma et al 36 and Zhang et al 37 The energy problem has been the subject of several studies in all kinds of networks, such as ad hoc networks, 38 MANET network, 39 and mobile network. A new access protocol was proposed in Zhang et al, 32 aiming to increase data reliability.…”

Section: Figurementioning

confidence: 99%

Auto‐management of energy in IoT networks

Zouinkhi

Ayadi

Val

et al. 2019

Int J Communication

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Wireless sensor network (WSN) based on IEEE 802.15.4 technology continues to gain considerable importance. The present work is based on this standard and a cluster tree network topology. This network is divided into many subgroups, each of which is characterized by its special IEEE parameters (beacon order [BO] and superframe order [SO]). A mathematical model for computing energy consumption was proposed to enable personal area network (PAN) coordinator to detect the current energy level in the battery. The proposed adaptive intervention is based on a comparison between the remaining energy and the diverse thresholds, which lead to an auto-management of energy consumption. The proposed approach was evaluated using Inetmanet/Omnet++ simulator.

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Securing Wireless Sensor Networks Against Denial‐of‐Sleep Attacks Using RSA Cryptography Algorithm and Interlock Protocol

Fotohi

Bari

Yusefi

2019

Int J Communication

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Wireless sensor networks (WSNs) have been vastly employed in the collection and transmission of data via wireless networks. This type of network is nowadays used in many applications for surveillance activities in various environments due to its low cost and easy communications. In these networks, the sensors use a limited power source which after its depletion, since it is nonrenewable, network lifetime ends. Due to the weaknesses in sensor nodes, they are vulnerable to many threats. One notable attack threating WSN is Denial of Sleep (DoS). DoS attacks denotes the loss of energy in these sensors by keeping the nodes from going into sleep and energy-saving mode. In this paper, the Abnormal Sensor Detection Accuracy (ASDA-RSA) method is utilized to counteract DoS attacks to reducing the amount of energy consumed. The ASDA-RSA schema in this paper consists of two phases to enhancement security in the WSNs. In the first phase, a clustering approach based on energy and distance is used to select the proper cluster head and in the second phase, the RSA cryptography algorithm and interlock protocol are used here along with an authentication method, to prevent DoS attacks. Moreover, ASDA-RSA method is evaluated here via extensive simulations carried out in NS-2. The simulation results indicate that the WSN network performance metrics are improved in terms of average throughput, Packet Delivery Ratio (PDR), network lifetime, detection ratio, and average residual energy. KEYWORDSASDA-RSA, denial of sleep attack, network lifetime, RSA cryptography, WSNs | INTRODUCTIONNetworks constructed with multiple sensors enables novel applications covering a wide range of areas. However, it is well-known that networks forming from a range of sensors are prone to factors threatening their security. [1][2][3][4] Security is a main research topic in wireless sensor networks (WSNs). The widespread application of WSNs in security sensitive environment, such as military environment, made security considerations a basic requirement. Since nodes are the routing medium in the network, attacking the nodes eradicate the network. As routing is a trust-based operation among the nodes, there exists a good opportunity for attackers to disorder the routing process. These networks are usually formed without pre-planning and are utilized for a short period; hence, security investigations in

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Dynamic Analysis for the Average Shortest Path Length of Mobile Ad Hoc Networks Under Random Failure Scenarios

Cited by 102 publications

References 32 publications

Mobility and energy prediction models: Approach toward effective route management in mobile wireless sensor networks

Mobility and energy prediction models: Approach toward effective route management in mobile wireless sensor networks

Auto‐management of energy in IoT networks

Securing Wireless Sensor Networks Against Denial‐of‐Sleep Attacks Using RSA Cryptography Algorithm and Interlock Protocol

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