摘要
针对无线传感器网络能量受限的特征,提出一种基于梯度和剩余能量的智能蚁群路由算法,不仅考虑了节点间的梯度因素,而且还考虑了节点的剩余能量,从多角度节能并延长整个网络的使用寿命。在该算法中,若蚂蚁走过的当前路径比以往最佳路径更优,则加强当前路径信息素,并用当前路径取代最佳路径,否则减弱当前路径信息素。仿真结果验证了该算法在平均能量消耗和延迟方面表现出良好的性能。
Aiming at the character of energy limitation of wireless sensor networks, the paper puts forward an intelligent ant-colony routing algorithm based on gradient and residual energy. The algorithm not only considers the gradient factor of notes but the residual energy of notes. It can economize energy and prolong the whole network＇s life from multi-view. In this algorithm, if the present path of ants walking is rather than the best path in the past, it enhances information of the pheromone of the current path and can be used instead of the best path; otherwise the part pheromone will weakens it. Simulation test proves that the algo rithm is very valid in the average energy consumption and the average delay.
出处
《传感技术学报》
CAS
CSCD
北大核心
2009年第8期1182-1185,共4页
Chinese Journal of Sensors and Actuators
基金
黑龙江省自然科学基金项目资助(TF2005-05)
黑龙江科技学院青年基金资助(03-14)
关键词
无线传感器网络
路由算法
梯度
剩余能量
Wireless Sensor Networks
routing algorithm
gradient
residual energy
