IMPROVING POWER CHALLENGE IN QUALITY OF SERVICE OF MOBILE ADHOC NETWORK
A Mobile Ad hoc Network (MANET) is a network consisting of a set of mobile nodes capable of communicating with each other without base station. For Quality of Service (QoS) to be maintained, MANET must run consistently without power interruption. Also, the wireless network situation of MANET had made the QoS unpredictability less guaranteed and highly susceptible to errors.
MANETs are wireless networks that run usually on battery power. The power supplied by the battery is limited and tends to run out after a period of time. This poses a serious challenge for the nodes in MANETs. One major characteristic of the node is availability i.e., it should always be to receive and transmit communication to other nodes. If a node goes down, communication breaks down and the communication is disrupted. The availability of the nodes has an overall impact on the Quality of Service (QoS) that MANETs give. Once the nodes are not available when they are needed or if a node goes down while a communication is going on, thereby affecting the communication, the MANET is said to be unreliable, unpredictable and the QoS is said to be low tries to resolve the power challenge faced when using MANETs. The QoS of MANETs can only improve if the networks are working at their optimal capacity. This research would also cover current solutions for fixing the power problem and their effectiveness and also parts they are failing to address.
This research work proposed an energy efficient QoS enhancement scheme for mobile ad hoc network. The algorithm is inspired by particle swamp optimization technique with heuristic algorithm. QoS parameters that have been taken into consideration are throughput, delay, packet loss, and bandwidth utilisation.OPNET simulator has been used to evaluate the proposed concept. Simulation results show that the packet increases from 20 to 1500 and the vehicular speed increases from 330v/h to 1300v/h. Hence, this result produces better result than the existing schemes. The study concluded that three agents, namely message selection agent, message forwarding agent, and QoS factor calculating agent, have been introduced to govern and optimise the whole message transmission scheme. Through this method, a significant improvement in QoS factor can be achieved in comparison with the existing schemes.
Keywords: Mobile Ad Hoc Network, Nodes, Quality of Service(QoS), Hybrid Protocol, Packet loss, delay, loss, jitter, bandwidth, battery power, throughput, OPNET.
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