Green and Secure Computation Offloading for Cache-Enabled IoT Networks

Abstract

The ever-increasing number of diverse and computation-intensive Internet of things (IoT) applications is bringing phenomenal growth in global Internet traffic. Mobile devices with limited resource capacity (i.e., computation and storage resources) and battery lifetime are experiencing technical challenges to satisfy the task requirements. Mobile edge computing (MEC) integrated with IoT applications offloads computation-intensive tasks to the MEC servers at the network edge. This technique shows remarkable potential in reducing energy consumption and delay. Furthermore, caching popular task input data at the edge servers reduces duplicate content transmission, which eventually saves associated energy and time. However, the offloaded tasks are exposed to multiple users and vulnerable to malicious attacks and eavesdropping. Therefore, the assignment of security services to the offloaded tasks is a major requirement to ensure confidentiality and privacy. In this article, we propose a green and secure MEC technique combining caching, cooperative task offloading, and security service assignment for IoT networks. The study not only investigates the synergy between energy and security issues, but also offloads IoT tasks to the edge servers without violating delay requirements. A resource-constrained optimization model is formulated, which minimizes the overall cost combining energy consumption and probable security-breach cost. We also develop a two-stage heuristic algorithm and find an acceptable solution in polynomial time. Simulation results prove that the proposed technique achieves notable improvement over other existing strategies. INDEX TERMS Caching, energy, IoT, mobile edge computing, security. DARYOUSH HABIBI (Senior Member, IEEE) received the B.E. degree (Hons.

A Review on Green Caching Strategies for Next Generation Communication Networks

“…A packet update caching (PUC) technique studied energyaware and secure operation of the IoT systems [26]. On the other hand, in [47], the authors exploited MEC and assigned security services to the offloaded IoT tasks. The optimal strategy analyzed trade-offs related to energy and security concerns of these latency-critical tasks.…”

“…MEC not only helps to overcome the limitations of user equipment, but also improves user satisfaction [195]. An edge cloud also provides an opportunity to cache popular content objects and reduce redundant content transmission [47], [72].…”

“…The joint approach combining caching and MEC categorizes computing tasks based on their popularity [47], [196]. First, the results of the most popular tasks are cached at the edge nodes, and user requests are addressed immediately.…”

“…However, the exploitation of the green approaches in cache-equipped networks may impact network throughput and transmission delay [29], [46]. The inclusion of the additional services at the caching nodes also causes additional energy consumption [47]. Therefore, some studies [48]- [50] have investigated the trade-off analysis of the caching schemes based on energy consumption and network performance.…”

Energy-Efficient Centrally Controlled Caching Contents for Information-Centric Internet of Things

“…T HE Internet of Things (IoTs) connect a lot of miscellaneous devices for remotely operating and information exchange like smartphones, smartwatches, washing machines, smart refrigerators and smart vehicles [1] [2]. The internet will connect 3.9 billion devices by the end of 2022, which is 32 percent increase in devices as compared to 2017, stated in the Cisco visual networking [3].…”