Minimum end-to-end delay, packet delay variations or packet jitter, and packet drop for given throughput in fixed and wireless networks are well-known important factors. These factors play important role in achieving better Quality of Service (QoS). Furthermore, these also have evident effects on network utilization, efficiency and better Quality of Experience (QoE) for services being carried over networks. Traffic intensities (TI) are generally used for dimensioning and capacity planning in telecom networks. Generally, TI depends on point of presence (POP) and its characteristics. These characteristics include type of area served, customer density, usage pattern and grade of service (GOS). Most of time, for TI in busiest hour is used to determine required capacities of network resources. This thesis research work extends concept of traffic intensity for period-to-period base rather than busiest hour and utilize traffic intensity being offered for packet scheduling in wireless and wired networks. This will provide an opportunity to manage packet forwarding decisions based on dynamics of planned Traffic intensities for given POP and will enable us optimize forwarding decisions and hence optimize delay, jitter, drop behavior of network nodes. To evaluate effects of packet scheduling based on TI, a model network was simulated using NS2 and Traffic Intensity Based Packet Scheduling (TIPS) algorithm was used to schedule packets from various sources to common destination. During analysis impact on end-to-end delay, jitter, and throughput and drop behavior of network nodes was evaluated and compared with various other available approaches. It is found that TIPS offers optimized results for better QoS and network utilization as compared to existing packet scheduling approaches like Drop Tail, Round Robin, Deficit Round Robin, RED and SFQ. This thesis document will provide details of packet scheduling methodology, TIPS algorithm, simulation results and their comparison with above packet scheduling algorithms.