OPPNets and Rural Areas: An Opportunistic Solution for Remote Communications

Abstract

Many rural areas along Spain do not have access to the Internet. Despite the huge spread of technology that has taken place during recent years, some rural districts and isolated villages have a lack of proper communication infrastructures. Moreover, these areas and the connected regions are notably experiencing a technological gap. As a consequence of this, the implementation of technological health solutions becomes impracticable in these zones where demographic conditions are especially particular. Thus, inhabitants over 65 suppose a large portion of such population, and many elderly people live alone at their homes. These circumstances also impact on local businesses which are widely related to the agricultural and livestock industry. Taking into account this situation, this paper proposes a solution based on an opportunistic network algorithm which enables the deployment of technological communication solutions for both elderly healthcare and livestock industrial activities in rural areas. This way, two applications are proposed: a presence detection platform for elderly people who live alone and an analytic performance measurement system for livestock. The algorithm is evaluated considering several simulations under multiple conditions, comparing the delivery probability, latency, and overhead outcomes with other well-known opportunistic routing algorithms. As a result, the proposed solution quadruples the delivery probability of Prophet, which presents the best results among the benchmark solutions and greatly reduces the overhead regarding other solutions such as Epidemic or Prophet. This way, the proposed approach provides a reliable mechanism for the data transmission in these scenarios.

ML-Enhanced Live Video Streaming in Offline Mobile Ad Hoc Networks: An Applied Approach

“…In response to the challenge of streaming video in MANETs, the approaches presented in the literature may primarily focus on the routing process [12][13][14][15], while others provide adjustments to enhance performance. Thus, these works can essentially be classified into three groups [11]: multipath routing, QoS-aware routing, and prediction-based link routing.…”

Improving Delivery Probability in Mobile Opportunistic Networks with Social-Based Routing

“…These solutions are mainly based on a set of properties and behaviors relevant for MONs. Some of the most significant characteristics used in social routing are the community concept [29], reflected in works such as [30,31], the spacial centrality [32], with popular contributions such as EpSoc [33], SimBet [21], and Bubble Rap [16,34], interestbased communication [35] and contact graphs of nodes [36], and even abstract notions such as friendship or affinity [22,37,38]. Among these different approaches, those based on degree centrality have achieved great recognition in the literature.…”

“…Social-based routing [17] has motivated multiple works that incorporate interpreted social information about the nodes to optimize the traffic in opportunistic scenarios [18]. Aspects such as the social and contacts graph [19], the community concept [20], the centrality degree [21], and the common interests have become relevant for these algorithms [22]. Thus, this multi-hop routing seeks to benefit from real-world relations to achieve a better performance in the network [14].…”

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“…The characteristics of the random walk mobility model are used to analyze the predicted performance of the model. Other works refer to real vehicular networks use cases, with a focus on routing algorithms for the exchange of messages between Mules and other nodes [8], [9].…”