CAJ | 학술논문

针对目前的重编程算法大多关注减少传输数据量而极少考虑节点剩余能量，采用固定传输功率造成的能量浪费，文章提出基于动态传输功率的重编程能量均衡算法，该算法可根据能量利用率公式动态地选择最佳传输功率，降低了重编程消耗的总能量，同时设置广播节点能量阈值，避免个别节点过早死亡，维持整个网络的能量均衡性。仿真结果表明，节点数量为100时，该算法消耗的总能量比M N P算法降低32％左右，节点数量越多，降低的效果越明显。
침대목전적중편정산법대다관주감소전수수거량이겁소고필절점잉여능량，채용고정전수공솔조성적능량낭비，문장제출기우동태전수공솔적중편정능량균형산법，해산법가근거능량이용솔공식동태지선택최가전수공솔，강저료중편정소모적총능량，동시설치엄파절점능량역치，피면개별절점과조사망，유지정개망락적능량균형성。방진결과표명，절점수량위100시，해산법소모적총능량비M N P산법강저32％좌우，절점수량월다，강저적효과월명현。
In view of energy waste of most reprogramming algorithms using fixed transmission power , w hich focus on reducing transmission flux instead of residual energy of nodes ,an energy‐balanced al‐gorithm for reprogramming based on dynamic transmission power is proposed .The total energy con‐sumption of reprogramming is reduced by dynamically choosing the optimal transmission power based on the equation of energy efficiency .Meanwhile ,the energy threshold of broadcast nodes is set to a‐void premature death and maintain energy balance of the whole network .The simulation results show that the total energy consumption of reprogramming of this algorithm decreases by 32% compared with MNP algorithm when the number of nodes is 100 .The effect is more obvious as the number of nodes increases .