scholarly journals The Social Relationship Based Adaptive Multi-Spray-and-Wait Routing Algorithm for Disruption Tolerant Network

2017 ◽  
Vol 2017 ◽  
pp. 1-13 ◽  
Author(s):  
Jianfeng Guan ◽  
Qi Chu ◽  
Ilsun You

The existing spray-based routing algorithms in DTN cannot dynamically adjust the number of message copies based on actual conditions, which results in a waste of resource and a reduction of the message delivery rate. Besides, the existing spray-based routing protocols may result in blind spots or dead end problems due to the limitation of various given metrics. Therefore, this paper proposes a social relationship based adaptive multiple spray-and-wait routing algorithm (called SRAMSW) which retransmits the message copies based on their residence times in the node via buffer management and selects forwarders based on the social relationship. By these means, the proposed algorithm can remove the plight of the message congestion in the buffer and improve the probability of replicas to reach their destinations. The simulation results under different scenarios show that the SRAMSW algorithm can improve the message delivery rate and reduce the messages’ dwell time in the cache and further improve the buffer effectively.

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Xu Wang ◽  
Rongxi He ◽  
Bin Lin ◽  
Ying Wang

We investigate an opportunistic routing protocol in delay/disruption tolerant networks (DTNs) where the end-to-end path between source and destination nodes may not exist for most of the time. Probabilistic routing protocol using history of encounters and transitivity (PRoPHET) is an efficient history-based routing protocol specifically proposed for DTNs, which only utilizes the delivery predictability of one-hop neighbors to make a decision for message forwarding. In order to further improve the message delivery rate and to reduce the average overhead of PRoPHET, in this paper we propose an improved probabilistic routing algorithm (IPRA), where the history information of contacts for the immediate encounter and two-hop neighbors has been jointly used to make an informed decision for message forwarding. Based on the Opportunistic Networking Environment (ONE) simulator, the performance of IPRA has been evaluated via extensive simulations. The results show that IPRA can significantly improve the average delivery rate while achieving a better or comparable performance with respect to average overhead, average delay, and total energy consumption compared with the existing algorithms.


2018 ◽  
Vol 14 (3) ◽  
pp. 155014771875787 ◽  
Author(s):  
Hezhe Wang ◽  
Guangsheng Feng ◽  
Huiqiang Wang ◽  
Hongwu Lv ◽  
Renjie Zhou

Delay/disruption tolerant network is a novel network architecture, which is mainly used to provide interoperability for many challenging networks such as wireless sensor network, ad hoc networks, and satellite networks. Delay/disruption tolerant network has extremely limited network resources, and there is typically no complete path between the source and destination. To increase the message delivery reliability, several multiple copy routing algorithms have been used. However, only a few can be applied efficiently when there is a resource constraint. In this article, a delay/disruption tolerant network routing and buffer management algorithm based on weight (RABP) is proposed. This algorithm estimates the message delay and hop count to the destination node in order to construct a weight function of the delay and hop count. A node with the least weight value will be selected as the relay node, and the algorithm implements buffer management based on the weight of the message carried by the node, for efficiently utilizing the limited network resources. Simulation results show that the RABP algorithm outperforms the Epidemic, Prophet, and Spray and wait routing algorithms in terms of the message delivery ratio, average delay, network overhead, and average hop count.


Symmetry ◽  
2018 ◽  
Vol 10 (11) ◽  
pp. 600 ◽  
Author(s):  
Genghua Yu ◽  
Zhigang Chen ◽  
Jia Wu ◽  
Jian Wu

The amount of data has skyrocketed in Fifth-generation (5G) networks. How to select an appropriate node to transmit information is important when we analyze complex data in 5G communication. We could sophisticate decision-making methods for more convenient data transmission, and opportunistic complex social networks play an increasingly important role. Users can adopt it for information sharing and data transmission. However, the encountering of nodes in mobile opportunistic network is random. The latest probabilistic routing method may not consider the social and cooperative nature of nodes, and could not be well applied to the large data transmission problem of social networks. Thus, we quantify the social and cooperative relationships symmetrically between the mobile devices themselves and the nodes, and then propose a routing algorithm based on an improved probability model to predict the probability of encounters between nodes (PEBN). Since our algorithm comprehensively considers the social relationship and cooperation relationship between nodes, the prediction result of the target node can also be given without encountering information. The neighbor nodes with higher probability are filtered by the prediction result. In the experiment, we set the node’s selfishness randomly. The simulation results show that compared with other state-of-art transmission models, our algorithm has significantly improved the message delivery rate, hop count, and overhead.


2013 ◽  
Vol 401-403 ◽  
pp. 2044-2047
Author(s):  
Hong Cheng Huang ◽  
Xi Zhang ◽  
Yi Ding Mao

This Delay/Disruption Tolerant Network(DTN) is a New Network Architecture for Communication in Restricted Condition with High Latency and Intermittent Connectivity.In Order to Solve the Problem that Messages can Not be Delivered Reliably because of Mobility and Limited Buffer Size of Nodes in DTN,a Probabilistic Routing Algorithm Based on Node Free Buffer-Utilization (NFBU)is Proposed.The Algorithm Sets Node Free Buffer Warning/excitation Threshold,through Warning/incentive Factor to Increase/decrease the Node Forwarding Probability,and Set up the Buffer Management Strategy,message Time to Live(TTL)value is Smaller,the Higher its Priority,at the same Time Remove the Oldest Message to get more Buffer Space.Simulations Indicate that the Algorithm Improves Delivery Ratio and Reduces Network Latencies in Different Node Free Buffer-Utilization State Compared with some other Routing Algorithms,and it is Highly Adaptable to Network.


Author(s):  
Patrick M. Morgan

This chapter focuses on the social aspects of strategy, arguing for the importance of relationships in strategy and, in particular, in understanding of deterrence. Deterrence, in its essence, is predicated upon a social relationship – the one deterring and the one to be deterred. Alliance and cooperation are important in generating the means for actively managing international security. Following Freedman’s work on deterrence in the post-Cold War context, ever greater interaction and interdependence might instill a stronger sense of international community, in which more traditional and ‘relatively primitive’ notions of deterrence can be developed. However, this strategic aspiration relies on international, especially transatlantic, social cohesion, a property that weakened in the twenty-first century, triggering new threats from new kinds of opponent. The need for a sophisticated and social strategy for managing international security is made all the more necessary.


2021 ◽  
pp. 1-30
Author(s):  
Alexis D. Litvine

Abstract This article is a reminder that the concept of ‘annihilation of space’ or ‘spatial compression’, often used as a shorthand for referring to the cultural or economic consequences of industrial mobility, has a long intellectual history. The concept thus comes loaded with a specific outlook on the experience of modernity, which is – I argue – unsuitable for any cultural or social history of space. This article outlines the etymology of the concept and shows: first, that the historical phenomena it pretends to describe are too complex for such a simplistic signpost; and, second, that the term is never a neutral descriptor but always an engagement with a form of historical and cultural mediation on the nature of modernity in relation to space. In both cases this term obfuscates more than it reveals. As a counter-example, I look at the effect of the railways on popular representations of space and conclude that postmodern geography is a relative dead end for historians interested in the social and cultural history of space.


foresight ◽  
2014 ◽  
Vol 16 (4) ◽  
pp. 309-328 ◽  
Author(s):  
Evgeniya Lukinova ◽  
Mikhail Myagkov ◽  
Pavel Shishkin

Purpose – This paper aims to study the value of sociality. Recent experimental evidence has brought to light that the assumptions of the Prospect Theory by Kahneman and Tversky do not hold in the proposed substantive domain of “sociality”. In particular, the desire to be a part of the social environment, i.e. the environment where individuals make decisions among their peers, is not contingent on the framing. Evolutionary psychologists suggest that humans are “social animals” for adaptive reasons. However, entering a social relationship is inherently risky. Therefore, it is extremely important to know how much people value “sociality”, when the social outcomes are valued more than material outcomes and what kinds of adaptations people use. Design/methodology/approach – We develop a new theory and propose the general utility function that features “sociality” component. We test the theory in the laboratory experiments carried out in several countries. Findings – Our results suggest that when stakes are low the theory of “sociality” is successful in predicting individual decisions: on average, people do value “sociality” and it surpasses the monetary loss. Originality/value – The main contribution of this paper is the breakdown of the risk attitudes under low stakes and individual level of decision-making. Another advancement is the ability to formalize the social utility or the theory of “sociality” in an economic model; we use general utility function that we define both on the outcomes and on the process of the decision-making itself and test in laboratory studies.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Maria M. Raciti

Purpose Social marketing has come of age. Today, the study is a legitimate discipline with a wealth of empirical evidence that manifestly demonstrates the ability to bring about behaviour changes for the greater good. As social marketers, the study is rapidly expanding the horizons, with a growing interest in the labyrinth of systems that influence the chosen social causes. The study has become brave and bold, but is the study now running the risk of romanticising the work and ourselves? It is time to recalibrate, to take stock and to address the elephants in the social marketing room. Design/methodology/approach Expanding on my Change 2020 Driving Systems Change panel presentation, this study is a provocation, a think piece, centred around two observed phenomena. Findings The first phenomenon observed is the many identities of the contemporary social marketer – hackers, change agents, heroes, political power brokers and master puppeteers. The second phenomenon observed is the accelerated interest in systems thinking for which the author propose three preconditions are needed – an awareness of the system(s); an acknowledgement that this study is a part of the system(s) and the need to decolonise social marketing. Originality/value This paper poses challenging questions but offers no solutions as to how social marketers should, could or do square up the blind spots, make peace with the paradoxes or unblinking the views. Not only would it be naïve to proffer solutions but it would also stifle the growth of you, the reader, in your journey to becoming an integrated person and woke social marketing professional.


Sign in / Sign up

Export Citation Format

Share Document