In today’s accelerated growth of mobile device technology, resource utilization in access network will continue to draw more attention to the increasing mobile user devices and applications. The main objective is to address the issue of QoS resource utilization efficiency. This paper combines the Ant Colony Optimization (ACO) algorithm and the Particle Swarm Optimization (PSO) algorithm to provide the optimum routing and to improve the QoS resource utilization efficiency. This proposed hybrid ACO-PSO algorithm uses the IEEE 802.11 DCF standard with multi-antenna scheme (MIMO) of Mobile Ad-hoc Network (MANET) to apply into integrated wireless (MANET) optical (PON network) based in Software Defined Network (SDN) with cloud computing. IEEE 802.11 Wireless Local Area Network (WLAN) gives the opportunity to its users to practice the wireless environment and full functionality of “anything, anytime, anywhere” concept. The proposed work is implemented using the OMNeT++ software where it investigates the QoS performance. These metrics include all nodes throughput, bandwidth, and load balance, routing and control overhead improvement with reduction. They also comprise of RSSI, end to end delay, Packet Delivery Ratio, network capacity, packet loss probability, as well as power consumption in all wireless nodes and energy consumption from wireless domain to wired domain.
Utility monitoring system plays a vital role for consumers in domestic areas to identify their electric power usage, thus creates awareness, motivates and educates consumers about saving power consumption. This paper develops a monitoring system for electric power usage, designed consisting of a digital meter, display unit, microcontroller, auto-generated data-based logging and communication device. The system is in real-time structure which measures the power usage by hourly basis and displays the results in kWh every time in convenient and organized manner. The data-based logging feature enables utility usage information to be recorded in timely basis. An additional feature provided in this system is a notification module that send charges information corresponding to consumer’s utility usage. Consumers are able to be aware of the utility usage with the corresponding charges at real-time basis as well as capable to predict, control and manage their utility usage on daily manner. Eventually this system is beneficial for both parties which are the consumers and the utility provider.
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