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Finally, a DVS heuristic is presented for Phase 3 to decrease energy consumption by iteratively adjusting the CPU voltage level of each task In each iteration, a critical node that has the highest norm energy is selected Among the tasks assigned on the critical node, a task is selected such that, by decreasing its CPU supply voltage to the next level, is decreased the most Each time when a task is adjusted, the application schedule is iteratively adjusted accordingly to meet inter-task dependency constraints EbTA is one of the rst proposals that addresses task allocation in WSNs, where both communication and computation tasks are considered It is shown through simulations that the three-phase heuristic achieves longer lifetime compared with the baseline without DVS The performance of the three-phase heuristic is also found to be comparable to that of the ILP-based approach via simulations 135.

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Timing misbehavior is an attack in which a malicious node delays packet forwarding to ensure that packets expire their Time-to-Live (TTL), so that it is not immediately obvious that it is causing the problem Silent route changes is an attack in which a malicious node forwards a packet through a different route than it was intended to go through A malicious node with routing misbehavior attacks during the route discovery phase Three common attacks of this type are black hole, gray hole, and worm hole A blackhole attack is one in which a malicious node claims to have the shortest path and then when asked to forward will drop the received packets In a gray-hole attack, which is a variation of the black-hole attack, the malicious node selectively drops some packets.

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4 RT-MapS Algorithm [32] The RT-MapS algorithm [32] is proposed for single-hop clustered WSNs, which are composed of homogeneous DVS sensors with nite number of voltage levels The design objective of RT-MapS is to provide application deadline guarantees with the minimum energy consumption for WSNs applications The RT-MapS algorithm contains two phases, namely, Task Mapping and Scheduling (TMS) Phase and DVS Phase The owchart of RT-MapS is shown in Figure 1313 In the TMS phase, computation and communication events are simultaneously assigned and scheduled with the objective of minimizing energy consumption subject to deadline constraints To guarantee deadline constraints, sensors are scheduled with highest CPU speed in the TMS phase Schedules generated in the TMS phase are then further optimized in the DVS phase by reducing CPU speed to decrease energy consumption.

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A worm-hole attack, also known as tunneling, is an attack in which the malicious node sends packets from one part of the network to another part of the network, where they are replayed The sel sh behavior of a node, as shown in Figure 131, can be generally classi ed as either self-exclusion or nonforwarding The self-exclusion misbehavior is one in which a sel sh node does not participate when a route discovery protocol is.

Similar to EcoMapS [30], RT-MapS employs Hyper-DAGs to represent applications and utilizes the virtual node model of wireless channels The RT-MapS solution is outlined with the pseudocode in Figure 1314 Here, the communication scheduling algorithm sequentially schedules communication tasks on the virtual channel node to avoid packet collision Broadcasting is also realized in the communication scheduling algorithm to conserve energy The communication scheduling algorithm is embedded in the execution of the task mapping and scheduling algorithms, H-CNPT and H-MinMin H-CNPT is different from.

Start to assign the Task Mapping and task with H-CNPT Scheduling Phase or H-MinMin (Maximum CPU speed)

Malicious: Mount Attacks Forwarding Packet Dropping Modification Fabrication Timing Misbehavior Silent Route Changes Routing Black Hole Routing Gray Hole Routing Worm Hole Routing

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Communication required by dependency constraint NO Assign the task with H-CNPT or H-MinMin as search engine

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