Optimized congestion aware energy efficient traffic load balancing scheme for routing in wireless sensor networks

Abstract

Abstract-Load imbalance among hot spot nodes causes network congestion and earliest energy depletion of nodes in wireless sensor networks. This increases the probability of disconnecting or partitioning the network and premature death of entire network. The inefficiency in the WSN is more attributed to load imbalance or unbiased traffic. In this paper, an optimized congestion aware (OCAEE-LB) energy efficient traffic load balancing scheme for routing in WSN is proposed. The scheme utilizes the neglected information during route discovery process and considers a composite routing metric to determine congested status of a node and to enforce the traffic load balancing. The proposed scheme is simulated using ns-2 and the results demonstrate that the proposed mechanism performs better than the existing AODV-LB algorithm of various performance metrics such as, packet delivery ratio, throughput, routing overhead, endto-end delay, load distribution and energy consumption.

Congestion bottleneck avoid routing in wireless sensor networks

“…The minimum as well as the maximum congestion level of path (s, t1) is Qs itself which is zero as given by(16). Therefore, f(t1) = Qs = 0(17) This relation holds good even when we have a two hop path from s to t1 through an intermediate node i as shown inFigure 4. Here, we have two paths (s, t1) and (s, i, t1).…”

“…Load balancing is an effective technique for congestion control [16][17][18][19][20]. CBNAP selects path with lower congestion levels.…”

An Energy-Balanced Joint Routing and Charging Framework in Wireless Rechargeable Sensor Networks for Mobile Multimedia

“…Some graph theory algorithms are applied to find the optimal routing structure. For example, some schemes calculate the weight with parameters such as residual energy [16], hop-count [17], transmission distance [18], throughput [19] and transmission power [20]. In [21], it divided the sensing area into several load-balanced blocks and introduced a Dijkstra algorithm [22] based energy-efficient routing strategy for the multi-hop transmissions.…”

Analisando métodos e oportunidades em redes definidas por software (SDN) para otimizações de tráfego de dados

“…Modalidade An sdn-based multipath qos solution [12] Qualidade de Serviço Qamo-sdn: Qos aware multipath tcp for software defined optical networks [13] Qualidade de Serviço Experimental demonstration of latency-aware software defined networking for Qualidade de Serviço networking for openflow-based intra-datacenter optical interconnect networks [14] Minimizing latency of critical traffic through sdn [15] Qualidade de Serviço Application-oriented bandwidth and latency aware routing with openflow Qualidade de Serviço network [16] An adaptive routing scheme for heterogeneous data-flows using openflow [17] Qualidade de Serviço Congestion control using openflow in software defined data center Controle de Congestionamento networks [18] A joint approach to multipath routing and rate adaptation for congestion Controle de Congestionamento control in openflow software defined network [19] A congestion avoidance algorithm in sdn environment [20] Controle de Congestionamento Otcp: Sdn-managed congestion control for data center networks [21] Controle de Congestionamento A novel proposal to effectively combine multipath data forwarding for Controle de Congestionamento data center networks with congestion control and load balancing using software-defined networking approach [22] An openflow-based elastic solution for cloud-cdn video streaming service [23] Balanceamento de Carga Load balancing in openflow-enabled switches for wireless access traffic Balanceamento de Carga aggregation [24] Pushing sdn to the end-host, network load balancing using openflow [25] Balanceamento de Carga Minimum cost load balanced multipath routing protocol for low power Balanceamento de Carga and lossy networks [26] Optimized congestion aware energy efficient traffic load balancing Balanceamento de Carga scheme for routing in wireless sensor networks [27] Software-defined networking: Challenges and research opportunities for Survey future internet [1] A survey on software-defined network and openflow: From concept to Survey implementation [2] A survey on software-defined networking [7] Survey A survey of software-defined networking: Past, present, and future of Survey programmable networks [3] Network innovation using openflow: A survey [4] Survey A survey and a layered taxonomy of software-defined networking [8] Survey Rules placement problem in openflow networks: A survey [9] Survey The problems and solutions of network...…”

“…Como resultado, é possível equilibrar o consumo de energia, maximizar o tempo de vida da rede, e minimizar o custo total da transmissão para redes de baixo consumo de energia. Também relacionado a eficiência energética, [27] apresenta o esquema OCAEE-LB para balanceamento de carga e redução de congestionamentos ciente da eficiência energética para roteamento de dados em redes de sensores sem fio. O esquema utiliza as informações adquiridas durante o processo de descoberta de rotas e considera uma métrica de roteamento composto para determinar o status de congestionamento de um nó para aplicar ou não o balanceamento de carga de tráfego.…”