Policy-Based Adaptive Routing in Autonomous WSNs

Abstract

Abstract. Wireless sensor networks (WSNs) are employed in different domains and applications. The resource constraint on such networks, many times composed of hundreds to thousands of devices, and the requirement of autonomous operation become their management a challenging task. This work applies policies, a well-known approach in network management, in the core task of routing in autonomous WSNs. Policies are used to establish rules to take dynamic actions on the network according to its state. Our scheme offers a high-level and flexible way to realize management tasks related to routing in WSNs, which can be defined in a progressive way as knowledge from the environment is acquired or application requirements change. Case studies employing a policy-based adaptive hybrid solution allows the autonomous selection of the best routing strategy in view of network conditions and application requirements. Simulation results show the benefits and resource savings offered by the use of policies for adaptive routing in WSNs.

SD-EAR: Energy Aware Routing in Software Defined Wireless Sensor Networks

“…Figueiredo et al [12] used multiple adaptive hybrid approaches, which are considered better than a single algorithm. This work (which subsequently will be referred to as software defined wireless sensor network 1, or SD-WSN1, in this article) discusses the usage of policies to establish adaptive routing rules so that the WSN elements of a network can acquire more flexible and accessible development and maintenance tasks.…”

“…If the number of nodes is low, then proactive routing is applied, where the identifiers of successors in optimum paths to various destinations are stored in routing tables. This does not require route discovery before each communication session, and saves energy by eliminating the broadcast operation during route discovery when the number of nodes is low [12]. However, when the number of nodes becomes high, routing table storage becomes inefficient; also, keeping track of stale routes is difficult.…”

Fundamentos, Potencialidades e Aplicações de Algoritmos Evolutivos

“…As RSSFs possuem restrições de recursos que, aliadas às necessidades das aplicações, tornam o projeto dessas redes complexo. Nesse contexto, existem diversas linhas de pesquisa que tratam problemas relacionados com o projeto dessas redes, como a auto-organização [19,28,72] e o gerenciamento de recursos [32,70,87,88]. Por tratarem de um tipo específico de redes ad hoc e serem utilizadas em ambientes hostis com condições imprevisíveis, as RSSFs devem ser autoconfiguráveis, adaptáveis e possuir um gerenciamento escalável.…”

“…Uma das tarefas que é considerada tanto na fase de estabelecimento como na fase de manutenção é a montagem da estrutura de roteamento. Uma abordagem bastante utilizada em RSSFs para essa tarefa é o roteamento baseado em árvore, cuja montagem consiste em configurar os nós da rede para que eles saibam para qual vizinho enviar suas informações sensoriadas [28,60].…”