Research On Ad Hoc Network Energy Equilibrium Strategy

Mobile Ad Hoc is a self-organization, node dynamic internet. It needn’t use fixed infrastructure. All nodes in the network structure can random move, compared with most of the traditional wireless networks, Ad Hoc nodes are unstable and join or quit the network frequently.They’re all communications in the wireless network environment, it makes that the traditional routing algorithms can’t be used in Ad Hoc environment. Most of the mobile equipment’s energy is limited. so Node energy consumption research is an important work in recent years. In this paper, the main work is as follows:1. This paper describes the characteristics of Ad Hoc network, the development history and prospects, and then according to the method of node routing information, I study the classic Ad Hoc network routing protocols.2. The article introduces the energy-saving strategy of Ad Hoc, it summarized that reach the purpose of energy saving has a minimum transmission energy consumption of routing strategy, protection of low energy node routing strategy, the energy consumption more balanced routing policy, energy saving routing strategy based on topology control and multicast and broadcast routing strategy based on energy saving. Analysis of its characteristics, and introduces its advantages to this Ad Hoc routing algorithm.3. Ant colony algorithm can find better solutions and has strong self-organization in solving the optimal path problem. In this paper, the ant colony algorithm is improved, each node data structure increase the residual energy list, in order to record the status of the residual energy of the neighbor nodes. Make the network nodes balanced consume energy as soon as possible. When choose a path, taking into account the node sends power, thus ensuring the stability of the network connectivity premise, reducing power consumption path.4. through simulation results, we found that EBCR has a strong advantage on the route discovery phase and data forwarding phase, It increased the survival time of the network nodes, network delay and network throughput. In the route discovery phase, EBCR get information on all paths through the pheromone table. Compared with AODV flooding method, EBCR algorithm is more effective in terms of energy savings. In the Data forwarding phase, EBCR forming multiple paths, Select the path based on link price, Compared to the unique path of AODV, This method is better balance the energy consumption of network nodes. So that more nodes involved, prolong the survival time of the node, and increases the stability of the network transmission protection.